IJCNN2003 Program

Plenary Talk P1: Plenary talk - Miller
Monday, July 21, 8:00AM-9:00AM, Room: Mount Saint Helens Ballroom, Speaker: Earl K. Miller

Special Session M1S: Visual cortex: How illusions represent reality
Monday, July 21, 9:20AM-12:00PM, Room: Multnomah, Chair: Stephen Grossberg

9:20AM	Perceptual processes that create objects from fragments [#522]
	P. J. Kellman
	University of California, Los Angeles
10:00AM	Laminar cortical dynamics of visual form perception [#42]
	Stephen Grossberg
	Boston University
10:40AM	Moving objects appear to slow down at low contrasts [#608]
	Stuart Anstis
	Department of Psychology, UC San Diego
11:20AM	Neural models of motion integration and segmentation [#490]
	Ennio Mingolla
	Boston University

Session M1T: Self-organizing maps
Monday, July 21, 9:20AM-10:40AM, Room: Clark, Chair: Erkki Oja

9:20AM	Self-organisation of language instruction for robot action control [#509]
	Mark Elshaw, Stefan Wermter, and Peter Watt
	Centre for Hybrid Intelligent Systems, University of Sunderland
9:40AM	Fusion of structure adaptive self-organizing maps using fuzzy integral [#594]
	Kyung-Joong Kim and Sung-Bae Cho
	Yonsei University
10:00AM	A local linear modeling paradigm with a modified counterpropagation network [#610]
	Jeongho Cho, Jose C. Principe, and Mark A. Motter
	Computational NeuroEngineering Lab., University of Florida
10:20AM	Adaptive double self-organizing map and its application in clustering gene expression data [#544]
	Habtom Ressom, Dali Wang, and Padma Natarajan
	University of Maine

Session M1B: Neurodynamics
Monday, July 21, 9:20AM-10:40AM, Room: Clackamas, Chair: Ali Minai

9:20AM	A new design method for complex-values multistate Hopfield associative memory [#16]
	Mehmet Kerem Muezzinoglu, Cuneyt Guzelis, and Jacek M. Zurada
	Computational Intelligence Laboratory, University of Louisville
9:40AM	A two-processing element adaptable linear oscillating recurrent system with single-weight plasticity [#12]
	Michael R. Johnson and Jose C. Principe
	Air Force SEEK EAGLE Office, University of Florida
10:00AM	Annealed imitation: Fast dynamics for maximum clique [#267]
	Marcello Pelillo
	University of Venice, Italy
10:20AM	Dynamic properties of a class of cellular neural networks: Model, stability analysis and design method [#11]
	Giuseppe Grassi and Donato Cafagna
	Università di Lecce

Session M1A: Biomedical applications
Monday, July 21, 9:20AM-10:40AM, Room: Washington, Chair: David Brown

9:20AM	Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP [#595]
	Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Jose C. Principe, and Miguel Nicolelis
	University of Florida, Duke University
9:40AM	Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - A comparative study [#226]
	Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, and Jacek M. Zurada
	University of Louisville
10:00AM	Identifying riskier combinations of risky behavior using a self-organizing map [#843]
	Susan B. Garavaglia
	Schering-Plough Corporation
10:20AM	Local features in biomedical image clusters extracted with independent component analysis [#586]
	Christoph Bauer, Fabian J. Theis, Wolfgang Baumler, and Elmar W. Lang
	Institute of Biophysics, University of Regensburg, Germany

Session M2T: Radial basis functions
Monday, July 21, 10:50AM-12:10PM, Room: Clark, Chair: Lei Xu

10:50AM	Numerical solution of elliptic partial differential equation by growing radial basis function neural networks [#10]
	Jianyu Li, Siwei Luo, Yingjian Qi, and Yaping Huang
	Computer Dept., Northern Jiaotong University, Beijing, P.R. China
11:10AM	Automatic basis selection for RBF networks using Stein's unbiased risk estimator [#681]
	Ali Ghodsi and Dale Schuurmans
	university of Waterloo
11:30AM	Cosine radial basis function neural networks [#6]
	Mary M. Randolph-Gips and Nicolaos B. Karayiannis
	University of Houston
11:50AM	A fast incremental learning algorithm of RBF networks with long-term memory [#767]
	Keisuke Okamoto, Seiichi Ozawa, and Shigeo Abe
	Graduate School of Science and Technology, Kobe University

Session M2B: Vision and Image Processing
Monday, July 21, 10:50AM-12:10PM, Room: Clackamas, Chair: Kunihiko Fukushima

10:50AM	Color image segmentation using rival penalization controlled competitive learning [#710]
	Lap-Tak Law and Yiu-Ming Cheung
	Department of Computer Science, Hong Kong Baptist University
11:10AM	Texture discrimination based on neural dynamics of visual perception [#547]
	Vidya Manian and Ramon Vasquez
	University of Puerto Rico
11:30AM	Face detection using biologically motivated saliency map model [#438]
	Sang-Woo Ban, Jang-Kyoo Shin, and Minho Lee
	School of Electronic & Electrical Engineering/Kyungpook National University
11:50AM	An association architecture for the detection of objects with changing topologies [#441]
	J. Teichert and R. Malaka
	European Media Laboratory

Session M2A: Biomedical Applications
Monday, July 21, 10:50AM-12:10PM, Room: Washington, Chair: David Brown

10:50AM	Protecting multimedia authenticity with ICA vaccination of digital bacteria watermarks [#849]
	Harold H. Szu, S. Noel, S.-B. Yim, J. Willey, and J. Landa
	Office of Naval Research
11:10AM	Artificial intelligence approach to determine minimum dose of haemodialysis [#253]
	Monika Ray and Uvais Qidwai
	Tulane University, School of Engineering
11:30AM	Neural networks for odor recognition in artificial noses [#314]
	Teresa B. Ludermir and Akio Yamazaki
	Center for Informatics - Federal University of Pernambuco
11:50AM	Principal component analysis for poultry tumor inspection using hyperspectral fluorescence imaging [#521]
	John T. Fletcher and Seong G. Kong
	The University of Tennessee

Special Session M3S: Knowledge Discovery, and Image and Signal Processing in Medicine
Monday, July 21, 1:20PM-3:00PM, Room: Multnomah, Chair: F. Carlo Morabito and Sameer Antani

1:20PM	Adaptive neural networks control of drug dosage regimens in cancer chemotherapy [#633]
	A. G. Floares, Carmen Floares, M. Cucu, and L. Lazar
	Oncological Institute
1:40PM	Vertebra shape classification using MLP for content-based image retrieval [#791]
	Sameer Antani, L. Rodney Long, George R. Thoma, and R. Joe Stanley
	National Library of Medicine (SA, LRL, GRT); University of Missouri-Rolla (RJS)
2:00PM	A Morlet wavelet classification technique for ICA filtered sEMG experimental data [#496]
	D. Costantino, A. Greco, F. C. Morabito, and M. Versaci
	Università "Mediterranea" degli Studi di Reggio Calabria - DIMET
2:20PM	Time-frequency characterization of multi-channel dynamic semg recordings by neural networks [#519]
	B. Azzerboni, G. Finocchio, M. Ipsale, F. La Foresta, and F. C. Morabito
	DIMET - Università Mediterranea di Reggio Calabria, Italy & DFMTFA - Università degli Studi di Messina, Italy
2:40PM	Knowledge discovery in support of early diagnosis of hepatocellular carcinoma [#512]
	F. Ciocchetta, R. Dell'Anna, F. Demichelis, A. Dhillon, A. P. Dhillon, A. Godfrey, A. Quaglia, and A. Sboner
	ITC-irst, Trento, Italy and Royal Free and University College Medical School, London, Uk

Session M3T: Vision and Image Processing
Monday, July 21, 1:20PM-3:00PM, Room: Clark, Chair: Kunihiko Fukushima

1:20PM	On intrinsic generalization of low dimensional representations of images for recognition [#271]
	Xiuwen Liu, Anuj Srivastava, and DeLiang Wang
	Florida State University and The Ohio State University
1:40PM	Effects of temporal frequency on speed discrimination and perceived speed [#575]
	Haoming Shen, Yoshifumi Shimodaira, and Gosuke Ohashi
	Graduate School of Electronic Science and Technology, Shizuoka University
2:00PM	CBP neural network for objective assessment of image quality [#266]
	Paolo Gastaldo, Rodolfo Zunino, Elena Vicario, and Ingrid Heynderickx
	DIBE - Genoa University
2:20PM	Intensity-invariant color image segmentation using MPC algorithm [#795]
	Slawo Wesolkowski
	University of Waterloo
2:40PM	Detecting salient contours using orientation energy distribution [#720]
	Hyeon-Cheol Lee and Yoonsuck Choe
	Texas A&M University

Session M3B: Learning and Memory
Monday, July 21, 1:20PM-3:00PM, Room: Clackamas, Chair: Michael E. Hasselmo and Daniel S. Levine

1:20PM	Computational modeling of human performance in a sequence learning experiment [#292]
	Rainer Spiegel and I. P. L. McLaren
	University of London, Goldsmiths College and University of Cambridge, Wolfson College
1:40PM	Presynaptic modulation as fast synaptic switching: State-dependent modulation of task performance [#516]
	Gabriele Scheler and Johann Schumann
	ICSI, Berkeley, CA; RIACS/NASA Ames
2:00PM	Using temporal binding for connectionist recruitment learning over delayed lines [#679]
	Cengiz Gunay and Anthony S. Maida
	Center for Advanced Computer Studies, University of Louisiana at Lafayette
2:20PM	Universal computation by networks of model cortical columns [#542]
	Patrick Simen, Thad Polk, Rick Lewis, and Eric Freedman
	University of Michigan
2:40PM	Binary autoassociative morphological memories derived from the kernel method and the dual kernel method [#634]
	Peter Sussner
	Department of Applied Mathematics, Institute of Mathematics, Statistics, and Scientific Computation, State University of Campinas

Session M3A: Optimization and Forecasting
Monday, July 21, 1:20PM-3:00PM, Room: Washington, Chair: Danil V. Prokhorov

1:20PM	On sparsity-exploiting memory-efficient trust-region regularized nonlinear least squares algorithms for neural-network learning [#228]
	Eiji Mizutani and James W. Demmel
	Department of Computer Science, Tsing Hua University
1:40PM	A comparison of dual heuristic programming (DHP) and neural network based stochastic optimization approach on collective robotic search problem [#820]
	Nian Zhang and Donald C. Wunsch II
	University of Missouri-Rolla, Dept. of Electrical and Computer Engineering
2:00PM	A study of non-periodic short-term random walk forecasting based on RBFNN, ARMA, or SVR-GM(1,1,tau) approach [#464]
	Bao Rong Chang
	Department of Electrical Engineering, Cheng Shiu Institute of Technology
2:20PM	Forecasting stock index increments using neural networks with trust region methods [#318]
	Paul Kang Hoh Phua, Xiaotian Zhu, and Chung-Haur Koh
	National University of Singapore, School of Computing
2:40PM	Decentralized algorithms for sensor registration [#290]
	Valentino Crespi and George Cybenko
	Thayer School of Egineering - Dartmouth College

Special Session M4S: Attention and Consciousness in Normal Brains
Monday, July 21, 3:20PM-5:20PM, Room: Multnomah, Chair: Andreas A. Ioannides and John G. Taylor

3:20PM	Modeling orbitofrontal involvement in decision making on a gambling task [#515]
	Daniel S. Levine, Britain Mills, Steven Estrada, Carson Clanton, and Stephen Denton
	University of Texas at Arlington
3:40PM	Consciousness and its correlates in awake condition, in different sleep stages and in epilepsy [#812]
	P. B. C. Fenwick, G. K. Kostopoulos, L. C. Liu, and A. A. Ioannides
	Lab. for Human Brain Dynamics, RIKEN Brain Science Institute and Department of Physiology, University of Patras, Greece
4:00PM	Early striate activity related to attention in a choice reaction task [#793]
	Poghosyan, T. Shibata, P. B. C. Fenwick, L. C. Liu, and A. A. Ioannides
	Laboratory for Human Brain Dynamics, RIKEN Brain Science Institute (BSI), 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan
4:20PM	Testing models of attention with MEG [#804]
	A. A. Ioannides and J. G. Taylor
	Laboratory for Human Brain Dynamics, RIKEN Brain Science Institute and Department of Mathematics, King's College London, UK
4:40PM	The CODAM model of attention and consciousness [#805]
	J. G. Taylor
	King's College London
5:00PM	Simulations of attention control models in sensory and motor paradigms [#806]
	J. G. Taylor and N. Fragopanagos
	King's College London

Session M4T: Fuzzy Neural Systems
Monday, July 21, 3:20PM-5:20PM, Room: Clark, Chair: Bart Kosko and Lotfi Zadeh

3:20PM	Multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks [#492]
	Jie Zhang
	University of Newcastle, U.K.
3:40PM	Stability analysis of fuzzy robot control without fuzzy rule base [#579]
	Josip Kasac, Branko Novakovic, Dubravko Majetic, and Danko Brezak
	Faculty of Mechanical Engineering and Naval Architecture
4:00PM	Enhancing multi-neural systems through the use of hybrid structures [#341]
	Anne Canuto, Michael Fairhurst, and Gareth Howells
	Federal University of Rio Grande do Norte
4:20PM	A hierarchical neuro-fuzzy system based on s-implications [#754]
	Robert Nowicki, Rafal Scherer, and Leszek Rutkowski
	Czestochowa University of Technology
4:40PM	A fuzzy autoassociative morphological memory [#630]
	Peter Sussner
	State University of Campinas, Department of Applied Mathematics

Session M4B: Chaos and Dynamics
Monday, July 21, 3:20PM-5:20PM, Room: Clackamas, Chair: DeLiang Wang and Robert Kozma

3:20PM	Simulation of the Freeman model of the olfactory cortex: A quantitative performance analysis for the DSP approach [#646]
	Mustafa C. Ozturk, Jose C. Principe, Bryan A. Davis, and Deniz Erdogmus
	University of Florida
3:40PM	Clustering in coupled maps on small-world networks [#541]
	Rogério de Oliveira and Luiz H. A. Monteiro
	Universidade Presbiteriana Mackenzie
4:00PM	Coherent oscillations as a neural code in a model of the olfactory system [#588]
	A. Gutierrez-Galvez and R. Gutierrez-Osuna
	Texas A&M University
4:20PM	A dynamic neural network method for time series prediction using the KIII model [#504]
	Haizhon Li and Robert Kozma
	University of Memphis
4:40PM	Neural networks with chaotic recursive nodes: Design of associative memories, performance analysis, and contrast with traditional Hopfield architectures [#811]
	Emilio Del Moral Hernandez
	University of Sao Paulo
5:00PM	Trajectory tracking via adaptive recurrent neural control with input saturation [#741]
	Edgar N. Sanchez and Luis J. Ricalde
	CINVESTAV, Unidad Guadalajara, Mexico

Session M4A: Hardware
Monday, July 21, 3:20PM-5:20PM, Room: Washington, Chair: Fred Ham

3:20PM	Possible nanoelectronic implementation of neuromorphic networks [#601]
	Ozgur Turel, Ibrahim Muckra, and Konstantin Likharev
	Department of Physics and Astronomy, Stony Brook University
3:40PM	The design of a bionic sensory chip based on the CNN model derived from the mammalian retina [#488]
	Wen-Chia Yang, Li-Ju Lin, and Chung-Yu Wu
	National Chiao Tung University
4:00PM	An analog VLSI system for computing depth from motion parallax [#651]
	Sirisha S. Karri and Albert H. Titus
	Department of Electrical Engineering, University at Buffalo
4:20PM	Predicting protein cellular localization sites with a hardware analog neural network [#514]
	S. G. Hohmann, J. Schemmel, F. Schurmann, and K. Meier
	Kirchhoff Institute for Physics, University of Heidelberg
4:40PM	An analog silicon retina with multi-chip configuration [#641]
	Seiji Kameda and Tetsuya Yagi
	Osaka University
5:00PM	The H1 neural network trigger [#815]
	Christian Kiesling
	Max Planck Institute for Physics, Munich

Plenary Poster Session Ha: Neural Networks and Evolutionary Computation
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	Extension neural network [#56]
	M. H. Wang and Chin-Pao Hung
	National Chin-Yi Inst. of Technology
	Electronic nose based tea quality standardization [#34]
	Ritaban Dutta, J. W. Gardner, K. R. Kashwan, and M. Bhuyan
	Determination of Tea Quality by Using A Neural Network Based Electronic Nose
	Global optimization for fast multilayer perceptron training [#348]
	Jaewook Lee
	POSTECH
	Evolutionary optimization of radial basis function networks for intrusion detection [#336]
	Alexander Hofmann and Bernhard Sick
	University of Passau, Faculty of Mathematics and Computer Science
	Quantitative feature evaluation using hybrid neural network and fuzzy logic approach [#359]
	Hao Jiang and Xin Feng
	Marquette University
	A genetically optimized ensemble of s-FLNMAP neural classifiers based on non-parametric probability distributions functions [#280]
	Vassilis G. Kaburlasos, S. E. Papadakis, and S. Kazarlis
	Technological Educational Institute of Kavala, Greece
	A genetic learning of functional link network [#289]
	C. Bhumireddy and C. L. Philip Chen
	The University of Texas at San Antonio
	Evolutionary computation for parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics [#435]
	Nikola Kasabov, Qun Song, and Ikuko Nishikawa
	Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand
	Finding optimal neural network basis function subsets using the Schmidt procedure [#745]
	Francisco J. Maldonado, Michael T. Manry, and Tae-Hoon Kim
	Chihuahua Institute of Technology and "The University of Texas at Arlington."
	A multi-core learning algorithm for Boolean neural networks [#432]
	Di Wang and Narendra S. Chaudhari
	School of Computer Engg, Nanyang Technological University (NTU), Singapore
	Solving the puzzle problem using Hopfield neural network in conjunction with tree search algorithm [#800]
	Javid Taheri
	The University Of Sydney
	Implementing evolutionary self-organizing maps with the genetic operations of graph evolution theory [#429]
	Maiga Chang and Jia-Sheng Heh
	Dept. of Information and Computer Engineering, Chung-Yuan Christian Univ.
	Evolving digtal circuits using particle swarm [#825]
	V. G. Gudise and Ganesh K. Venayagamoorthy
	University of Missouri- Rolla
	Representation and training of vector graphics with NRAAM networks [#567]
	Mark Schaefer and Werner Dilger
	Chemnitz University of Technology
	Evolution and adaptation of neural networks [#83]
	Paulito P. Palmes, Taichi Hayasaka, and Shiro Usui
	Department of Information and Computer Sciences, Toyohashi University of Technology
	Discriminative training of Bayesian Chow-Liu multinet classifiers [#225]
	Kaizhu Huang, Irwin King, and Michael R. Lyu
	the Chinese University of Hong Kong
	Fault tolerance of feedforward artificial neural networks - A framework of study [#25]
	Pravin Chandra and Yogesh Singh
	School of Information Technology, GGS Indraprastha University, Kashmere Gate, Delhi - 110006, INDIA

Plenary Poster Session H4: Probabilistic and IT methods, Mixture Models, RBFs, EM Algorithms and Ensemble Learning
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	Multioutput feedforward neural network selection: A Bayesian approach [#338]
	Jean-Pierre Vila and Vivien Rossi
	UMR Analyse des Systèmes et Biométrie, INRA-ENSAM
	Threshold-based dynamic annealing for multi-thread DAEM and its extreme [#483]
	Masaharu Takada and Ryohei Nakano
	Nagoya Institute of Technology
	True risk bounds for the regression of real-valued functions [#452]
	Rhee Man Kil and Imhoi Koo
	Division of Applied Mathematics, Korea Advanced Institute of Science and Technology
	A divide-and-conquer based radial basis function network with application to recurrent function modelling [#711]
	Rongbo Huang, Yiu-Ming Cheung, and Lap-Tak Law
	Hong Kong Baptist University, Hong Kong
	Handling class overlap with variance-controlled neural networks [#329]
	Ralf Kretzschmar, Nicolaos B. Karayiannis, and Fritz Eggimann
	MeteoSwiss, University of Houston, ETH Zurich
	Clustering using Renyi's entropy [#358]
	Robert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, Jose C. Principe, and Torbjorn Eltoft
	University of Florida
	Faithful feature extraction by greedy network-growing algorithm [#372]
	Ryotaro Kamimura
	Tokai University
	How hierarchies of objects and constraints reduce complexity [#802]
	Blaga N. Iordanova
	IEEE
	A unified view of probabilistic PCA and regularized linear fuzzy clustering [#315]
	Yoshio Mori, Katsuhiro Honda, Akihiro Kanda, and Hidetomo Ichihashi
	Osaka Prefecture University
	Ensemble neural network methods for satellite-derived estimation of chlorophyll a [#550]
	Wayne H. Slade Jr., Richard L. Miller, Habtom Ressom, and Padma Natarajan
	University of Maine, and Stennis Space Center
	An ensemble of classifiers approach for the missing feature problem [#692]
	Stefan Krause and Robi Polikar
	Rowan University
	A dual-phase technique for pruning constructive networks [#51]
	J. P. Thivierge, F. Rivest, and T. R. Shultz
	McGill University
	How many neighbors to consider in pattern pre-selection for support vector classifiers? [#635]
	Hyunjung Shin and Sungzoon Cho
	Dept. of Industrial Engineering, Seoul National University, Seoul, Korea
	Modular adaptive RBF-type neural networks for letter recognition [#381]
	Gao Daqi, Lin Chengyin, and Li Changwu
	Department of Computer, East China University of Science and Technology
	A novel vector quantizer for pattern classification tasks [#354]
	V. Shiv Naga Prasad, B. Yegnanarayana, and S. Guruprasad
	Dept. of Computer Science & Engineering, Indian Institute of Technology Madras, India

Plenary Poster Session I6: Biomimetic and biomedical applications
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	The use of artificial neural networks to diagnose mastitis in dairy cattle [#304]
	M. Lopez-Benavides, S. Samarasinghe, and J. G. H. Hickford
	Lincoln University
	Artificial neural networks for diagnosis of hepatitis disease [#518]
	Lale Ozyilmaz and Tulay Yildirim
	Yildiz Technical University
	Neural network-based estimation of light attenuation coefficient [#557]
	Siva Srirangam, Habtom Ressom, Padma Natarajan, Mohamad T. Musavi, Robert W. Virnstein, Lori J. Morris, and Wendy Tweedale
	University of Maine, Orono, ME and St. Johns River Water Management District, Palatka, FL
	Improved Bayesian MRI reconstruction involving neural priors based on a regularization approach [#782]
	D. A. Karras, B. G. Mertzios, D. Graveron-Demilly, and D. van Ormondt
	Hellenic Aerospace Industry
	Topographic independent component analysis for fMRI signal detection [#382]
	Anke Meyer-Baese, Dorothee Auer, and Axel Wismueller
	Florida State University
	Comparison and hybridization of neural networks and fuzzy logic in biomedical applications [#537]
	Amy J. O'Brien
	The George Washington University; Digital System Resources, Inc.
	An intelligent system for detection of nematodes in digital images [#590]
	Carlos A. Silva, Kaiser M. C. Magalhaes, and Adriao Duarte Doria Neto
	Universidade Federal do Rio Grande do Norte
	Classifying hemodynamics of MR brain perfusion images using independent component analysis (ICA) [#738]
	Yu-Te Wu, Yi-Hsuan Kao, Wan-Yuo Guo, Tzu-Chen Yeh, Jen-Chuen Hsieh, and Michael Mu Huo Teng
	National Yang-Ming University
	Raman spectra calibration, extraction and neural network based training for sample identification [#844]
	Zhengmao Ye, Prasad Manda, and Gregory Auner
	College of Engineering, Wayne State University
	Systolic blood pressure classification [#835]
	Sukru Colak and Can Isik
	Dept. of Electrical Eng. & Computer Sci., Syracuse University
	Application of biomimetics intelligence for smart sensor surveillance system in legacy powerline network [#851]
	Pornchai Chanyagorn, Harold H. Szu, and Ivica Kopriva
	Digital Media RF Lab., George Washington University, USA
	Discrete feature weighting and selection algorithm [#621]
	Norbert Jankowski
	Department of Informatics, Nicholas Copernicus University, Poland
	Estimation of cutting torque in drilling system based on flexible neural network [#393]
	Myeonghee Kim, Nobutomo Matsunaga, and Shigeyasu Kawaji
	Graduate School of Science and Technology, Kumamoto University
	Neural networks in comparing USN and Wageningen b-series marine propellers [#589]
	C. Neocleous and Chr. Schizas
	Higher Technical Institute, Cyprus
	Bayesian regularized neural network for multiple gene expression pattern classification [#691]
	Arpad Kelemen and Yulan Liang
	University of Mississippi
	Quo vadis neurocomputing? Neural computation at the edge to new perspectives [#769]
	Nils Goerke
	Department of Neuroinformatics, University of Bonn

Plenary Poster Session A3: Auditory and Speech Processing
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	Using dynamic synapse based neural networks with wavelet preprocessing for speech applications [#404]
	Sageev George, Alireza A. Dibazar, Vishal Desai, Walter Yamada, and Theodore W. Berger
	University of Southern California
	High performance arabic digits recognizer using neural networks [#479]
	Yousef A. Alotaibi
	College Computer and Inf. Scs. - King Suad University
	Speech segmentation using probabilistic phonetic feature hierarchy and support vector machines [#618]
	Amit Juneja and Carol Espy-Wilson
	University of Maryland, College Park
	An entropy based robust speech boundary detection algorithm for realistic noisy environments [#665]
	Kim Weaver, Khurram Waheed, and Fathi M. Salem
	Michigan State University
	Combining evidence from multiple modular networks for recognition of consonant-vowel units of speech [#723]
	Suryakanth V. Gangashetty, K. Sreenivasa Rao, A. Nayeemulla Khan, C. Chandra Sekhar, and B. Yegnanarayana
	Speech and Vision Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Madras, India
	AANN models for speaker recognition based on difference cepstrals [#678]
	S. Guruprasad, N. Dhananjaya, and B. Yegnanarayana
	Speech and Vision Lab., Dept. of Computer Science and Eng., IIT Madras, India
	Phoneme transcription based om sampa for Norwegian [#246]
	Terje Kristensen, Bernd Treeck, and Ronny Falck-Olsen
	Bergen University College, Norway

Plenary Poster Session H6: SOM and Component Analyses
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	Genetic algorithm applied to ICA feature selection [#350]
	Yaping Huang
	Department of Computer Science, Northern Jiaotong University, Beijing, China
	Amplitude and permutation indeterminacies in frequency domain convolved ICA [#715]
	Angelo Ciaramella and Roberto Tagliaferri
	DMI - Università di Salerno, Italia
	Parallel structured independent component analysis for SIMO-model-based blind separation and deconvolution of convolutive speech mixture [#332]
	Hiroshi Saruwatari, Hiroaki Yamajo, Tomoya Takatani, Tsuyoki Nishikawa, and Kiyohiro Shikano
	Nara Institute of Science and Technology
	Adaptive and heuristic approaches for nonlinear source separation [#508]
	F. Rojas, M. R. Alvarez, M. Salmeron, Carlos G. Puntonet, and Ruben Martin-Clemente
	University of Granada (Spain)
	Neural net with two hidden layers for non-linear blind source separation [#478]
	Ruben Martin-Clemente, S. Hornillo-Mellado, Jose I. Acha, and Carlos G. Puntonet
	University of Seville (Spain)
	Robust local principal component analyzer with fuzzy clustering [#313]
	Katsuhiro Honda, Nobukazu Sugiura, and Hidetomo Ichihashi
	Osaka Prefecture University
	Stability analysis of blind signals separation algorithms [#305]
	Tianping Chen and Wenlian Lu
	Fudan University
	Integrated learning of linear representations [#572]
	Xiuwen Liu and Anuj Srivastava
	Florida State University
	Cauchy machine for blind inversion in linear space-variant imaging [#830]
	Harold H. Szu and Ivica Kopriva
	George Washigton University
	Hierarchical and dynamic SOM applied to image compression [#661]
	Jose Marinho Barbalho
	Universidade Federal do Rio Grande do Norte
	Simplified nonlinear principal component analysis [#717]
	Beiwei Lu and William W. Hsieh
	Dept. of Earth and Ocean Sciences, University of British Columbia
	Identification of dynamical systems using GMM with VQ initialization [#629]
	Jing Lan, Jose C. Principe, and Mark A. Motter
	CNEL, Dept of ECE, University of Florida
	PCA and ICA neural implementations for source separation - A comparative study [#605]
	Radu Mutihac and Marc M. Van Hulle
	Dept. of Electricity & Biophysics, University of Bucharest, ROMANIA
	Algebraic independent component analysis: An approach for separation of overcomplete speech mixtures [#669]
	Khurram Waheed and Fathi M. Salem
	Michigan State University
	The self-organization by lateral inhibition model: Validation of clustering [#230]
	Bin Tang, Malcolm I. Heywood, and Michael Shepherd
	Dalhousie University, Nova Scotia, Canada
	A simple learning algorithm for growing self-organizing maps and its application to the skeletonization [#724]
	Hiroki Sasamura and Toshimichi Saito
	EECE Dept, HOSEI Univ
	The graded possibilistic clustering model [#466]
	Francesco Masulli and Stefano Rovetta
	University of Pisa/University of Genova/INFM, Italy
	An accurate and fast neural method for PCA extraction [#473]
	J. B. O. Souza Filho, L. P. Caloba, and J. M. Seixas
	Federal University of Rio de Janeiro
	Support vector visualization and clustering using self-organizing map and support vector one-class classification [#29]
	Sitao Wu and Tommy W. S. Chow
	City University of Hong Kong
	Modeling CMOS gate charachteristics using independent component analysis [#656]
	Thaddeus T. Shannon, David Abercrombie, and James McNames
	Portland State University and LSI Logic, Portland OR, USA
	Sunspot number prediction by a conditional distribution discrimination tree [#577]
	Marc C. Girod Genet and Alain G. Petrowski
	GET/INT
	Exploiting PCA classifiers to speaker recognition [#401]
	Wanfeng Zhang, Yingchun Yang, and Zhaohui Wu
	College of Computer Science & Technology, Zhejiang University, P. R. China

Plenary Poster Session G: Dynamics
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	A hybrid dynamical system as an automaton on the fractal set [#399]
	Jun Nishikawa and Kazutoshi Gohara
	Department of Applied Physics, Hokkaido University
	Phase transitions in a non-local neural network model having partially random connections [#649]
	Marko Puljic and Robert Kozma
	University of Memphis
	Function complexity estimation and its application to the optimum tie of geophysical data using ANNs [#18]
	Zhengping Liu
	Southwest Jiaotong Univercity
	Chaotic associative recalls for fixed point attractor patterns [#353]
	Liang Zhao, Juan C. G. Caceres, and Harold H. Szu
	Institute of Mathematics and Computer Science / University of Sao Paulo
	Improved chaotic associative memory using distributed patterns for image retrieval [#423]
	Yuko Osana
	Tokyo University of Technology
	Incremental learning by VSF network and its chaotic effects [#440]
	Yoshitsugu Kakemoto and Shinichi Nakasuka
	The Japan Research Institute, The university of Tokyo
	Convergence analysis of chaotic dynamic neuron [#476]
	Sang-Hee Kim
	School of Electronic Eng., Kumoh Nat. Inst. of Tech, KOREA
	A chaotic neural network for reducing the peak-to-average power ratio of multicarrier modulation [#448]
	Masaya Ohta and Katsumi Yamashita
	Osaka Prefecture University
	Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks [#460]
	J. P. Barnard and C. Aldrich
	University of Stellenbosch
	Yet another "optimal" neural representation for combinatorial optimization [#611]
	Satoshi Matsuda
	Nihon University
	A neural network model for general minimax problem [#66]
	Zheng Yong-Ling, Ma Long-hua, and Qian Ji-Xin
	Institute of System Engineering,Department of Control Science & Engineering,Zhejiang University, Hangzhou, P.R.China
	A synthesis procedure for associative memories using cellular neural networks with space-invariant cloning template library [#439]
	Takeshi Kamio and Mititada Morisue
	Hiroshima City University
	A winner-take-all circuit using second order Hopfield neural networks as building blocks [#534]
	P. Tymoshchuk and E. Kaszkurewicz
	NACAD/COPPE/UFRJ
	Relaxing in a warped space: An effect due to the cooperation of static and dynamical neurons [#636]
	Kazuyoshi Tsutsumi
	Ryukoku University
	New results on exponential periodicity of delayed neural networks [#45]
	Changyin Sun, Derong Liu, and Chun-Bo Feng
	Research Institute of Automation, Southeast University, P R China;Department of Electrical and Computer Engineering, University of Illinois, Chicago
	Relating bayesian learning to training in recurrent networks [#293]
	Rainer Spiegel
	University of London, Goldsmiths College and University of Cambridge, Wolfson College
	Adaptive parallel identification of dynamical systems by adaptive recurrent neural networks [#562]
	James T. Lo and Devasis Bassu
	Department of Mathematics and Statistics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250
	Implicit de-noising in hybrid recurrent nets for meta knowledge abduction [#772]
	David Al-Dabass, David Evans, and Siva Sivayoganathan
	Nottingham Trent University
	Two–cell cellular neural networks: Generation of new hyperchaotic multiscroll attractors [#13]
	Donato Cafagna and Giuseppe Grassi
	Università di Lecce
	Feedforward dynamic neural network technique for modeling and design of nonlinear telecommunication circuits and systems [#19]
	Jianjun Xu, Mustapha C. E. Yagoub, Runtao Ding, and Q. J. Zhang
	Carleton University, University of Ottawa, Tianjin University, Carleton University

Plenary Poster Session E: Hardware
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	Toward an analog VLSI implementation of adaptive resonance theory (ART2) [#658]
	Senthil Kumar Ganapathy and Albert H. Titus
	University at Buffalo, Dept of Electrical Engineering
	Integrated pulse neuron circuit for asynchronous pulse neural networks [#447]
	Takuya Taniguchi, Yoshihiko Horio, and Kazuyuki Aihara
	Tokyo Denki University
	Architecture research and hardware implementation on simplified neural computing system for face identification [#317]
	Xu Jian, Li Weijun, Qu Yanfeng, Qin Hong, and Wang Shoujue
	Artificial Neural Networks Laboratory, Institute of Semiconductors, Chinese Academy of Sciences
	Hardware design of CMAC neural network for control applications [#760]
	Chan-Mo Kim, Kwang-Ho Choi, and Yong B. Cho
	Konkuk University
	A model-selection approach to the VLSI design of vector quantizers [#39]
	Massimiliano Bracco, Sandro Ridella, and Rodolfo Zunino
	DIBE - Genoa University
	Silicon approximation to biological neuron [#612]
	Vladimir A. Gorelik
	Neuronix
	A VLSI implementation of mixed-signal mode bipolar neuron circuitry [#410]
	Dong Pan and Bogdan M. Wilamowski
	University of Idaho
	A VLSI hamming artificial neural network with k-winner-take-all and k-looser-take-all capability [#757]
	Stephane Badel, Alexandre Schmid, and Yusuf Leblebici
	Swiss Federal Institute of Technology EPFL, Microelectronic Systems Laboratory LSM
	An analog neural oscillator circuit for locomotion control in quadruped walking robot [#468]
	Kazuki Nakada, Tetsuya Asai, and Yoshihito Amemiya
	Department of Electrical Engineering, Hokkaido University
	A survey of perceptron circuit complexity results [#582]
	Valeriu Beiu
	Washington State University
	Platform performance comparison of PALM network on Pentium 4 and FPGA [#407]
	Changjian Gao
	OGI School of Science and Engineering at Oregon Health & Science University
	Neural network for LIDAR detection of fish [#35]
	V. Mitra, C. Wang, and G. Edwards
	University of Denver, University of Colorado at Colorado Springs

Plenary Poster Session I: Signal Processing, Telecommunications and Other Applications
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	Suppression of maternal ECG from fetal ECG using neuro fuzzy logic technique [#424]
	C. Kezi Selva Vijila, S. Renganathan, and Stanley Johnson
	Karunya Institute of Technology,India.
	Eggplant classification using artificial neural network [#836]
	Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, and Kazuhide Shigeto
	Osaka University
	Monitoring seagrass health using neural networks [#554]
	Habtom Ressom, Suzanne K. Fyfe, Padma Natarajan, and Siva Srirangam
	University of Maine, USA and University of Wollongong, Australia
	A strategy for an efficient training of radial basis function networks for classification applications [#437]
	Oliver Buchtala, Peter Neumann, and Bernhard Sick
	University of Passau, Faculty of Mathematics and Computer Science
	Image proessing techniques and neural network models for prediction of plant nitrate using aerial images [#744]
	Ramesh K. Gautam and Suranjan Panigrahi
	North Dakota State University
	Failure analysis of transmission devices using self-organizing map [#62]
	Bingchen Wang, Sigeru Omatu, and Toshiro Abe
	Osaka Prefecture University
	Application of neural network on LTCC fine line screen printing process [#67]
	Kuo-Chuang Chiu
	Material Research Laboratories, Industrial Technology Research Institute
	Effect of regularization term upon fault tolerant training [#443]
	Haruhiko Takase, Hidehiko Kita, and Terumine Hayashi
	Mie university
	The application of neural network soft sensor technology to an advanced control system of distillation operation [#264]
	C. M. Bo, J. Li, S. Zhang, C. Y. Sun, and Y. R. Wang
	College of Automation, Nanjing University of Technology, P.R.China
	Explaining how a multi-layer perceptron predicts helicopter airframe load spectra from continuously valued flight parameter data [#563]
	M. L. Vaughn and J. G. Franks
	Cranfield University (RMCS)
	Identification of the type and relative concentration of chemical warfare agents using NIST conductometric microhotplate sensors [#580]
	Zvi Boger, D. C. Meier, R.E. Cavicchi, and S. Semancik
	OPTIMAL - Industrial Neural Systems Ltd. and National Institute of Standards and Technology
	Multi-scale high-speed network traffic prediction using combination of neural networks [#227]
	Alireza Khotanzad and Nayera Sadek
	Southern Methodist University
	Neural network based benchmarks in the quality assessment of message digest algorithms for digital signatures based secure internet communications [#786]
	D. A. Karras and V. Zorkadis
	Hellenic Aerospace Industry
	Single-trial analysis of post-movement MEG beta synchronization using independent component analysis (ICA) [#722]
	P. L. Lee, Y. T. Wu, L. F. Chen, S. S. Chen, Tzu-Chen Yeh, L. T. Ho, and Jen-Chuen Hsieh
	*Integrated Brain Research Laboratory, Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan, †Institute of Radiological Sciences, ‡Departments of Anesthesiology, Psychiatry, and Radiology, §Institute of Neurosci
	A hybrid HMM-neural network with gradient descent parameter training [#602]
	Jaime Salazar, Marc Robinson, and Mahmood R. Azimi-Sadjadi
	Colorado State University, Department of Electrical and Computer Engineering
	A learning algorithm with adaptive exponential stepsize for blind source separation of convolutive mixtures with reverberations [#416]
	Kenji Nakayama, Akihiro Hirano, and Akihide Horita
	Dept. of Information and Systems Eng., Kanazawa Univ.
	Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks [#362]
	De-Shuang Huang, H. S. Horace, C. K. Law Ken, and H. S. Wong
	Hefei Institute of Intelligent Machines, Chinese Academy of Sciences
	Improved multiuser detectors employing genetic algorithms in a space-time block coding system [#87]
	Yinggang Du and K. T. Chan
	Department of Electronic Engineering, The Chinese University of Hong Kong
	A music retrieval system based on the extraction of non-trivial recurrent themes and neural classification [#524]
	Barbara Colaiocco and Francesco Piazza
	Università degli Studi di Ancona
	Support vector machines for multi-class signal classification with unbalanced samples [#379]
	Peng Xu and Andrew K. Chan
	Texas A & M University
	Inheritance of information in multi-layer sigma-pi neural networks [#5]
	R. S. Neville
	Department of Computation, UMIST, UK
	Piecewise-linear modeling of analog circuits using trained feed-forward neural networks and adaptive clustering of hidden neurons [#666]
	Simona Doboli, Gaurav Gothoskar, and Alex Doboli
	Hofstra University, Computer Science Department, SUNY Stony Brook, Electrical and Computer Engineering Department
	Interpretation of geophysical surveys of archaeological sites using artificial neural networks [#333]
	David J. Bescoby, Gavin C. Cawley, and P. Neil Chroston
	University of East Anglia
	Solving quadratic programming problems with linear Hopfield networks [#248]
	Evgeny Dudnikov
	IRIMS
	Model selection for k-nearest neighbors regression using VC bounds [#23]
	Vladimir Cherkassky, Yunqian Ma, and Jun Tang
	Department of Electrical and Computer Engineering, University of Minnesota
	Binary image coding using cellular neural networks [#276]
	Dirk Feiden and Ronald Tetzlaff
	Institute for Applied Physics, University of Frankfurt
	Accoustic recurrent neural networks echo cancellers [#412]
	Pedro H. G. Coelho and Luiz Biondi Neto
	State University of Rio de Janeiro - UERJ
	Identification of a typical CD player arm using a two-layer perceptron neural network model [#20]
	S. V. Dudul and A. A. Ghatol
	Reader, Department of Applied Electronics, Amravati University, Amravati
	Rectilinear floorplanning of FPGAs using Kohonen map [#258]
	Morteza Saheb Zamani and Masoud Soleimani
	Computer Engineering Dept., Amirkabir University of Technology
	RLS lattice algorithm using gradient based variable forgetting factor [#415]
	C. F. So, S. C. Ng, and S. H. Leung
	The Hong Kong Polytechnic University
	On the transformation mechanisms of multilayer perceptrons with sigmoid activation functions for classifications [#456]
	Gao Daqi, Zhu Haijun, and Nie Guiping
	Department of Computer, East China University of Science and Technology

Plenary Poster Session A1: Vision and Image Processing
Monday, July 21, 7:00PM-10:00PM, Room: Grand Ballroom

	Pulse coupled neural network for motion detection [#848]
	Bo Yu and Liming Zhang
	Department of Electronics Engineering, Fudan University
	High performance associative memory with distance based training algorithm for character recognition [#573]
	Ming-Jung Seow and Vijayan K. Asari
	Old Dominion University
	Simulation of the visual cortex with laterally connected spiking neural networks [#14]
	Jianguo Xin and Mark J. Embrechts
	Rensselaer Polytechnic Institute
	License plate location based on a dynamic PCNN scheme [#475]
	Mario I. Chacon M. and Alejandro Zimmerman S.
	Chihuahua Institute of Technology
	Automated tracking and classification of infrared images [#376]
	J. S. Shaik and Khan M. Iftekharuddin
	The University of Memphis
	A method for selective color images compression [#394]
	Diego de Miranda Gomes, Wedson T. de Almeida Filho, and Adriao Duarte Doria Neto
	Universidade Federal do Rio Grande do Norte
	Real-time image transmission on the TCP/IP network using wavelet transform and neural network [#712]
	Jeong Ha Kim, Hyoung Bae Kim, and Boo Hee Nam
	KangWon National University
	Image edge detection using adaptive morphology Meyer wavelet-CNN [#324]
	Young-Hyun Baek, Oh-Sung Byun, and Sung-Rung Moon
	Department of Electronic Engineering Wonkwang University
	The effects of training algorithms in MLP network on image classification [#461]
	Nihan Coskun and Tulay Yildirim
	Yildiz Technical University
	A fast object detection system using GA-based threshold method [#729]
	Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi, and Norio Akamatsu
	University of Tokushima
	Exploitation of sparse properties of support vector machines in image compression [#231]
	Jonathan Robinson and Vojislav Kecman
	University of Auckland, New Zealand
	Unsupervised clustering of texture features using SOM and fourier transform [#451]
	Brijesh Verma, Vallipuram Muthukkumarasamy, and Changming He
	Griffith University
	Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks [#262]
	Dianhui Wang, Alex Talevski, and Tharam S. Dillon
	La Trobe University
	Retina encoder tuning and data encryption for learning retina implants [#809]
	Oliver Baruth, Rolf Eckmiller, and Dirk Neumann
	Division of Neuroinformatics, Department of Computer Science, University of Bonn
	Face detection and emotional extraction system using double structure neural networks [#726]
	Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, and Norio Akamatsu
	Okayama Univ.
	A reliable method for recognition of paper currency by approach to local PCA [#312]
	Ali Ahmadi, Sigeru Omatu, and Toshihisa Kosaka
	Osaka Prefecture University
	Spectral histogram based face detection [#606]
	Christopher Waring and Xiuwen Liu
	Florida State University
	Scaling, rotation, and translation invariant image recognition using competing multiple subspaces [#445]
	Noriji Kato, Hitoshi Ikeda, Hirotsugu Kashimura, and Masaaki Shimizu
	Corporate Research Center, Fuji Xerox, Co., Ltd.
	Firing correlations improve detection of moving bars [#552]
	Garrett Kenyon, Bartlett Moore, Janelle Jeffs, James Theiler, Bryan Travis, and David Marshak
	Los Alamos National Laboratory
	Location of coffee beans using Hopfield-type neural network [#294]
	David R. Arellano-Baez, Edgar N. Sanchez, and Flavio A. Prieto-Ortiz
	Cinvestav, Unidad Guadalajara
	Comments on using MLP and FFT for fast object/face detection [#40]
	Hazem Mokhtar El-Bakry
	Assistant Lecturer - Faculty of Computer Science & Information systems Mansoura Univeristy - Egypt

Plenary Talk P2: Plenary talk - Vapnik
Tuesday, July 22, 8:00AM-9:00AM, Room: Mount Saint Helens Ballroom, Speaker: Vladimir Vapnik

Special Session Tu1S: Applications in Underwater Acoustics
Tuesday, July 22, 9:20AM-10:40AM, Room: Multnomah, Chair: Warren Fox and Mohamed A. El-Sharkawi

9:20AM	Orthogonal transformation of output principal components for improved tolerance to error [#395]
	T. P. Mann, C. Eggen, Warren L. J. Fox, D. Krout, G. Anderson, M. A. El Sharkawi, and Robert J. Marks II
	University of Washington
9:40AM	Initial species discrimination experiments with riverine salmonids [#273]
	Jae-Byung Jung, James H. Jacobs, George A. Dowding, and Patrick K. Simpson
	Scientific Fishery Systems, Inc.
10:00AM	Inversion of neural network underwater acoustic model for estimation of bottom parameters using modified particle swarm optimizers [#660]
	Benjamin B. Thompson, Robert J. Marks II, Mohamed A. El-Sharkawi, Warren L. J. Fox, and Robert T. Miyamoto
	University of Washington
10:20AM	Broadband sonar target classification: Pool experiments [#275]
	Jae-Byung Jung, James H. Jacobs, Gerald F. Denny, and Patrick K. Simpson
	Scientific Fishery Systems, Inc.

Session Tu1T: Principal Component Analysis
Tuesday, July 22, 9:20AM-10:40AM, Room: Clark, Chair: Erkki Oja

9:20AM	A canonical coordinate decomposition network [#620]
	Ali Pezeshki, Mahmood R. Azimi-Sadjadi, and Louis L. Scharf
	Colorado State University
9:40AM	SOMICA: An application of self-organizing maps to geometric independent component analysis [#528]
	Fabian J. Theis, Carlos G. Puntonet, and Elmar W. Lang
	Institute of Biophysics, University of Regensburg, Germany
10:00AM	Sparse linear representations for recognition [#657]
	Lei Cheng and Xiuwen Liu
	Florida State University

Session Tu1B: Spatial Navigation
Tuesday, July 22, 9:20AM-10:40AM, Room: Clackamas, Chair: Michael E. Hasselmo

9:20AM	Goal-directed spatial navigation of the rat depends on phases of theta oscillation in hippocampal circuitry [#570]
	Randal A. Koene, Robert C. Cannon, and Michael E. Hasselmo
	Boston University
9:40AM	Building and using a hierarchical representation of space [#365]
	Horatiu Voicu
	Duke University
10:00AM	Reinforcement learning for hierarchical and modular neural network in autonomous robot navigation [#747]
	Rodrigo Calvo and Mauricio Figueiredo
	State University of Maringa
10:20AM	Reinforcement learning in associative memory [#607]
	Shaojuan Zhu and Dan Hammerstrom
	OGI School of Science and Engineering at OHSU

Session Tu1A: Signal Processing and Telecommunications
Tuesday, July 22, 9:20AM-10:40AM, Room: Washington, Chair: Bernard Widrow

9:20AM	A recursive neural network model for processing directed acyclic graphs with labeled edges [#556]
	Marco Gori, Marco Maggini, and Lorenzo Sarti
	Dipartimento di Ingegneria dell'Informazione - Università di Siena
9:40AM	A hierarchical Bayesian learning scheme for autoregressive neural networks [#470]
	Fausto Acernese, Fabrizio Barone, Rosario De Rosa, Antonio Eleuteri, Leopoldo Milano, and Roberto Tagliaferri
	DMI - Università di Salerno, Italia
10:00AM	Real-time surface meshing through HRBF networks [#810]
	N. A. Borghese, S. Ferrari, and V. Piuri
	Department of Information Technologies, University of Milan
10:20AM	Improving pseudorandom bit sequence generation and evaluation for secure internet communications using neural network techniques [#787]
	D. A. Karras and V. Zorkadis
	Hellenic Aerospace Industry

Special Session Tu2S: Dynamical Aspects of Information Encoding in Neural Networks
Tuesday, July 22, 10:50AM-12:10PM, Room: Multnomah, Chair: Robert Kozma and Ali Minai and DeLiang Wang

10:50AM	A neurobiological theory of meaning in perception [#845]
	Walter J. Freeman
	University of California, Berkeley
11:10AM	The role of temporal coding in the processing of relational information in the mind-brain [#707]
	Lokendra Shastri
	International Computer Science Institute
11:30AM	Understanding neural computation in terms of pattern languages [#288]
	Peter Andras
	School of Computing Science, University of Newcastle upon Tyne
11:50AM	On a pulse-coupled network of spiking neurons having quantized state [#403]
	Hiroyuki Torikai and Toshimichi Saito
	Hosei University

Session Tu2T: Adaptive resonance theory
Tuesday, July 22, 10:50AM-12:10PM, Room: Clark, Chair: Gail Carpenter

10:50AM	Multi-level information fusion and hierarchical knowledge discovery by an ARTMAP neural network [#868]
	Gail A. Carpenter
	Boston University
11:10AM	Evaluating quality of text clustering with ART1 [#270]
	Louis Massey
	Royal Military College of Canada
11:30AM	Using adaptive resonance theory and local optimization to divide and conquer large scale traveling salesman problems [#832]
	Samuel Mulder and Donald C. Wunsch II
	University of Missouri - Rolla
11:50AM	Snap-drift: Real-time, performance-guided learning [#733]
	Sin Wee Lee, Dominic Palmer-Brown, Jonathan Tepper, and Christopher Roadknight
	Computational Intelligence Research Group, Leeds Metropolitan University
12:10PM	Bidirectional ARTMAP: An artificial mirror neuron system [#402]
	Martin V. Butz and Sylvian Ray
	University of Illinois at Urbana-Champaign

Session Tu2B: Pattern recognition
Tuesday, July 22, 10:50AM-12:10PM, Room: Clackamas, Chair: David Casasent

10:50AM	Confidence-clustering supervised radial basis function neural networks [#249]
	David Casasent and Xue-wen Chen
	Carnegie Mellon University and California State University
11:10AM	A generalized feedforward neural network classifier [#653]
	Ganesh Arulampalam and Abdesselam Bouzerdoum
	Edith Cowan University, Perth, Australia
11:30AM	Transductive confidence machine for active learning [#668]
	Shen-Shyang Ho and Harry Wechsler
	George Mason University
11:50AM	Associative memories for handwritten pattern recognition [#38]
	Francisco J. Lopez-Aligue, Isabel Acevedo-Sotoca, Carlos Garcia-Orellana, and Horacio Gonzalez-Velasco
	University of Extremadura, Badajoz, Spain

Session Tu2A: Signal Processing and Telecommunications
Tuesday, July 22, 10:50AM-12:10PM, Room: Washington, Chair: Bernard Widrow

10:50AM	Error whitening criterion for linear filter estimation [#599]
	Yadunandana N. Rao, Deniz Erdogmus, and Jose C. Principe
	Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida
11:10AM	Blind dereverberation of speech signals using independence transform matrix [#675]
	Jong-Hwan Lee and Soo-Young Lee
	Brain Science Research Center and Dept. of Electrical Engineering & Computer Science, Korea Advanced Institute of Science and Technology
11:30AM	Employing adaptive functions and maximum entropy principle for nonlinear blind source deconvolution [#638]
	E. Corinti, V. Amadio, G. Tummarello, and Francesco Piazza
	Politecnic University of Marche
11:50AM	An adaptive sub-space filter model [#389]
	Anthony Zaknich
	Centre for Intelligent Information Processing Systems (CIIPS),The University of Western Australia

Special Session Tu3S: Dynamical Aspects of Information Encoding in Neural Networks
Tuesday, July 22, 1:20PM-3:00PM, Room: Multnomah, Chair: Robert Kozma and Ali Minai and DeLiang Wang

1:20PM	Some dynamics arising from learning in a hippocampal model [#847]
	William B. Levy
	University of Virginia
1:40PM	Theta theory: Requirements for encoding events and task rules explain theta phase relationships in hippocampus and neocortex [#699]
	Michael E. Hasselmo
	Boston University
2:00PM	Learning spatial navigation using chaotic neural network model [#650]
	Robert Kozma and Prashant Ankaraju
	University of Memphis
2:20PM	Processing of analogy in the thalamocortical circuit [#561]
	Yoonsuck Choe
	Texas A&M University

Special Session Tu3T: Cellular visual microprocessors
Tuesday, July 22, 1:20PM-3:00PM, Room: Clark, Chair: Csaba Rekeczky and Tamas Roska

1:20PM	Design and synthesis methods for cellular neural networks [#785]
	Marco Gilli, Fernando Corinto, and Pierpaolo Civalleri
	DIPARTIMENTO DI ELETTRONICA - POLITECNICO DI TORINO - TORINO - ITALY
1:40PM	Feature guided visual attention with topographic array processing and neural network-based classification [#560]
	G. Timar, D. Balya, I. Szatmari, and Cs. Rekeczky
	Analogical & Neural Computing Laboratory, Computer and Automation Research Institute (SZTAKI)
2:00PM	A new structure of large-neighborhood cellular nonlinear network (LN-CNN) [#320]
	Chiu-Hung Cheng, Sheng-Hao Chen, Li-Ju Lin, Kuan-Hsun Huang, and Chung-Yu Wu
	National Chiao Tung University
2:20PM	High speed cellular array computer realizations for low power applications [#436]
	Mika Laiho, Asko Kananen, Ari Paasio, and Kari Halonen
	Helsinki University of Technology
2:40PM	Cortically-inspired visual processing with a four layer cellular neural network [#426]
	Bertram E. Shi
	EEE/HKUST

Session Tu3B: Pattern Recognition
Tuesday, July 22, 1:20PM-3:00PM, Room: Clackamas, Chair: David Casasent

1:20PM	RBF-based real-time hierarchical intrusion detection systems [#380]
	Ju Jiang, Chunlin Zhang, and Mohamed Kamel
	University of Waterloo, Canada
1:40PM	Centroid stability with k-means fast learning artificial neural networks [#260]
	Wong Lai Ping and Alex Tay Leng Phuan
	Nanyang Technological University
2:00PM	Refine decision boundaries of a statistical ensemble by active learning [#274]
	Dingsheng Luo and Ke Chen
	The University of Manchester Institute of Science and Technology
2:20PM	Invariant feature representation by sparse vectors using adaptive subspace self-organizing maps [#411]
	Thomas Zheng
	Qualcomm Inc.

Session Tu3A: Control
Tuesday, July 22, 1:20PM-3:00PM, Room: Washington, Chair: Gary Yen

1:20PM	Neuro emission controller for minimizing cyclic dispersion in spark ignition engines [#613]
	Pingan He
	ECE Dept., the University of Missouri at Rolla
1:40PM	Mathematical underpinning of adaptive capability of recurrent neural networks with fixed weights [#28]
	James T. Lo
	Department of Mathematics and Statistics, University of Maryland, Baltimore
2:00PM	A design of model driven cascade PID controllers using a neural network [#689]
	Kenji Takao, Toru Yamamoto, and Takao Hinamoto
	Hiroshima University
2:20PM	Adaptive series-parallel identification of dynamical systems with uncertain bifurcations and chaos [#558]
	James T. Lo, Feng Li, and Devasis Bassu
	Department of Mathematics and Statistics, University of Maryland Baltimore
2:40PM	Intelligent control of non-linear plants using Type-2 fuzzy logic and neural networks [#794]
	Patricia Melin and Oscar Castillo
	Tijuana Institute of Technology

Session Tu4S: Dynamical Aspects of Information Encoding in Neural Networks
Tuesday, July 22, 3:20PM-5:40PM, Room: Multnomah, Chair: Robert Kozma and Ali Minai and DeLiang Wang

3:20PM	Dynamic cortical cooperation related to visual perception [#581]
	R. Eckhorn, A. Gail, A. Bruns, and B. Al-Shaikhli
	Philipps University, Physics Dept., Neurophysics Group, Marburg, Germany
3:40PM	A dynamical model for multi-scale pixel clustering [#357]
	Liang Zhao, Antonio P. G. Damiance Jr., Rogerio A. Furukawa, and Andre C. P. L. F. Carvalho
	Institute of Mathematics and Computer Science / University of Sao Paulo
4:00PM	Monaural speech segregation and oscillatory correlation [#759]
	DeLiang Wang
	The Ohio State University
4:20PM	Recurrent timing nets for auditory scene analysis [#682]
	Peter Cariani
	Harvard Medical School

Session Tu4T: Support vector machines
Tuesday, July 22, 3:20PM-5:40PM, Room: Clark, Chair: Ke Chen

3:20PM	Multiple model classification using SVM-based approach [#37]
	Yunqian Ma and Vladimir Cherkassky
	Department of Electrical and Computer Engineering, University of Minnesota
3:40PM	Training support vector machines: A quantum-computing perspective [#263]
	Davide Anguita, Sandro Ridella, Fabio Rivieccio, and Rodolfo Zunino
	DIBE - University of Genoa
4:00PM	Training support vector machines with particle swarms [#349]
	U. Paquet and A. P. Engelbrecht
	University of Pretoria, South Africa
4:20PM	Fuzzy least squares support vector machines [#603]
	Daisuke Tsujinishi and Shigeo Abe
	Graduate School of Science and Technology, Kobe University
4:40PM	Reordering adaptive directed acyclic graphs: An improved algorithm for multiclass support vector machines [#413]
	Thimaporn Phetkaew, Boonserm Kijsirikul, and Wanchai Rivepiboon
	Department of Computer Engineering, Chulalongkorn University, Thailand
5:00PM	Support vector machines for class representation and discrimination [#642]
	Chao Yuan and David Casasent
	Carnegie Mellon University ECE Dept.
5:20PM	Using support vector machines in optimization for black-box objective functions [#255]
	Hirotaka Nakayama, Masao Arakawa, and Koji Washino
	Konan University, Dept. of Info. Sci. & Sys. Eng.

Special Session Tu4S: Discussion Panel: Biologically inspired/motivated computational models
Tuesday, July 22, 3:20PM-5:40PM, Room: Washington, Chair: Mitra Basu

3:20PM	Biologically motivated computational models [#869]
	Mitra Basu
	CISE Directorate, EIA Division, National Science Foundation

Plenary Poster Session G1: Neurodynamics, Learning and Memory
Tuesday, July 22, 7:00PM-10:00PM, Room:

	Synaptic modification of interneuron afferents in a hippocampal CA3 model prevents activity oscillations [#576]
	David W. Sullivan and William B. Levy
	University of Virginia/Department of Neurosurgery
	Defining time in a minimal hippocampal CA3 model by matching time-span of associative synaptic modification and input pattern duration [#530]
	Kurt E. Mitman, Patryk A. Laurent, and William B. Levy
	University of Virginia/Department of Neurosurgery
	Timing of consecutive traveling pulses in a model of entorhinal cortex [#640]
	Anatoli Gorchetchnikov and Michael E. Hasselmo
	Boston University
	Latent attractor selection for variable length episodic context stimuli with distractors [#659]
	Simona Doboli and Ali A. Minai
	Hofstra University, Computer Science Department and University of Cincinnati, ECECS Department
	Consecutive face recognition by association cortex - entorhinal cortex - hippocampal formation model [#240]
	K. Nakamura, J. Nitta, H. Takano, and M. Yamazaki
	Graduate School of Engineering, Toyama Prefectural University
	T-maze training of a recurrent CA3 model reveals the necessity of novelty-based modulation of LTP in hippocampal region CA3 [#831]
	J. D. Monaco and William B. Levy
	University of Virginia/Department of Neurosurgery

Plenary Poster Session D: Informatics
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	The importance of stop word removal on recall values in text categorization [#790]
	Catarina Silva and Bernardete Ribeiro
	University of Coimbra/Polytechnic Institute of Leiria - Portugal
	Training and holistic computation of vector graphics with Hebbian bases in contrast to RAAM networks [#591]
	Mark Schaefer and Werner Dilger
	Chemnitz University of Technology
	Fault detection system in gas lift well based on artificial immune system [#756]
	Mariana Araujo, Jose Aguilar, and Hugo Aponte
	Universidad de los Andes
	An investigation into the source of power for AIRS, an artificial immune classification system [#765]
	Donald Goodman, Lois Boggess, and Andrew Watkins
	Department of Psychology, Department of Computer Science and Engineering, Mississippi State University, and Computing Laboratory, University of Kent at Canterbury
	Self-organizing neural networks for efficient clustering of gene expression data [#328]
	Ji He, Ah-Hwee Tan, and Chew-Lim Tan
	School of Computing, National University of Singapore
	Membership scoring via independent feature subspace analysis for grouping co-expressed genes [#750]
	Hyejin Kim, Seungjin Choi, and Sung-Yang Bang
	POSTECH
	Probabilistic neural networks for multi-class tissue discrimination with gene expression data [#801]
	Rui Xu and Donald C. Wunsch II
	University of Missouri - Rolla
	Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression pfofiles [#753]
	Chanho Park and Sung-Bae Cho
	Department of computer science, Yonsei university
	Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles [#414]
	Hong-Hee Won and Sung-Bae Cho
	Dept. of Computer Science, Yonsei Univ.
	Probabilistic neural network classification for microarray data [#523]
	Barbara Comes and Arpad Kelemen
	University of Mississippi
	Classification of eukaryotic and prokaryotic cells by a backpropagation network [#247]
	Terje Kristensen and Ruben Patel
	Bergen University College, Norway
	Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model [#434]
	Liang Goh and Nikola Kasabov
	Knowledge Engineering & Discovery Research Institute, Auckland University of Technology, New Zealand
	Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles [#444]
	Ichiro Takeuchi, Noriyuki Yamanaka, and Takeshi Furuhashi
	Mie University
	Coloring black boxes: Visualization of neural network decisions [#409]
	Wlodzislaw Duch
	Nanyang Technological University
	Time series novelty detection using one class support vector machines [#377]
	Junshui Ma and Simon Perkins
	NIS-2, Los Alamos National Laboratory
	Data mining for building neural protein sequence classification systems with improved performance [#254]
	Dianhui Wang, Nung Kion Lee, and Tharam S. Dillon
	La Trobe University
	Interval arithmetic inversion: A new rule extraction algorithm [#74]
	Carlos Hernandez-Espinosa, Mercedes Fernandez-Redondo, and Mamen Ortiz-Gomez
	Universidad Jaume I, Castellon, Spain
	Relevance feedback with active learning for document retrieval [#36]
	Takashi Onoda, Hiroshi Murata, and Seiji Yamada
	Central Research Institute of Electric Power Industry
	A SOM projection technique with the growing structure for visualizing high-dimensional data [#763]
	Zheng Wu and Gary G. Yen
	Oklahoma State University
	Naive Bayesian classifier for microarray data [#625]
	Arpad Kelemen, Hong Zhou, Pamela Lawhead, and Yulan Liang
	University of Mississippi
	Efficient realization of classification using modified Haar DWT [#343]
	Rory Mulvaney and Dhananjay S. Phatak
	University of Maryland Baltimore County
	Predicting intrusions with local linear models [#47]
	PingZhao Hu and Malcolm I. Heywood
	Dalhousie University
	A comparison of SOM based document categorization systems [#347]
	Xiao Luo and A. Nur Zincir-Heywood
	Dalhousie University
	Neural networks for web page classification based on augmented PCA [#33]
	Ali Selamat and Sigeru Omatu
	Osaka Prefecture University
	Neural networks mine for gold at the greyhound racetrack [#535]
	Ulf Johansson and Cecilia Sonstrod
	Department of Business and Informatics, University of Boras
	Learning classifier systems for data mining: A comparison of XCS with other classifiers for the forest cover data set [#494]
	A. J. Bagnall and Gavin C. Cawley
	University of East Anglia
	On the capability of an SOM based intrusion detection system [#46]
	H. Gunes Kayacik, A. Nur Zincir-Heywood, and Malcolm I. Heywood
	Dalhousie University, Faculty of Computer Science
	Mineral potential mapping using feed-forward neural networks [#701]
	Andrew Skabar
	School of Information Technology, Deakin University, Australia
	Intrusion detection using radial basis function network on sequences of system calls [#822]
	Arvind Rapaka, Alexander Novokhodko, and Donald C. Wunsch II
	University of Missouri-Rolla
	Application of the method of elastic maps in analysis of genetic texts [#485]
	A. N. Gorban, A. Yu. Zinovyev, and Donald C. Wunsch II
	Institut des Hautes Études Scientifiques
	Towards a tactile communication system with dialog-based tuning [#808]
	Carsten Wilks, Thomas Schieder, and Rolf Eckmiller
	Division of Neuroinformatics, Department of Computer Science, University of Bonn
	Unsupervised similarity-based feature selection using heuristic Hopfield neural networks [#841]
	S. Y. M. Shi and P. N. Suganthan
	Nanyang Technological University, Republic of Singapore
	Bagged ensembles of support vector machines for gene expression data analysis [#361]
	Giorgio Valentini, Marco Muselli, and Francesca Ruffino
	DSI, Dip. Scienze dell' Informazione, Universita' degli Studi di Milano
	Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing [#63]
	Vassilis G. Kaburlasos
	Technological Educational Institute of Kavala, Greece
	A cascade form blind source separation connecting source separation and linearization for nonlinear mixtures [#771]
	Kenji Nakayama, Akihiro Hirano, and Takayuki Nishiwaki
	Dept. of Information and Systems Eng., Kanazawa Univ.
	Natural gradient based blind multi user detection in QPSK DS-CDMA systems [#667]
	Khurram Waheed, Keyur Desai, and Fathi M. Salem
	Michigan State University

Plenary Poster Session F1: Reinforcement Learning and Control
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	The further discussions on constrained learning algorithms [#342]
	De-Shuang Huang
	Institute of Intelligent Machines, Chinese Academy of Sciences
	Acceleration of Levenberg-Marquardt training of neural networks with variable decay rate [#22]
	Tai-Cong Chen, Da-jian Han, Francis T. K. Au, and L. G. Tham
	Department of Civil Engineering, South China University of Technology, Guangzhou, People’s Republic of China
	Adaptive critic designs and their implementations on different neural network architectures [#816]
	Jung-Wook Park, Ganesh K. Venayagamoorthy, and Ronald G. Harley
	Georgia Institute of Technology., Atlanta, USA
	Combination of on-line clustering and q-value based genetic reinforcement learning for fuzzy network design [#65]
	Chia-Feng Juang
	Dept. of Electrical Engineering, National Chung-Hsing University
	Approximate dynamic programming based optimal neurocontrol synthesis of a chemical reactor process using proper orthogonal decomposition [#838]
	Radhakant Padhi and S. N. Balakrishnan
	University of Missouri - Rolla
	A performance comparison of TRACA - An incremental on-line learning algorithm [#57]
	Matthew W. Mitchell
	School of Computer Science and Software Engineering, Monash university
	Fast convergence for back-propagation network with magnified gradient function [#234]
	S. C. Ng, C. C. Cheung, S. H. Leung, and Andrew Luk
	The Open University of Hong Kong
	Competitive reinforcement learning in continuous control tasks [#383]
	Myriam Abramson, Peter Pachowicz, and Harry Wechsler
	George Mason University
	A neural cascade architecture for document retrieval [#578]
	Abdelhamid Bouchachia and Roland Mittermeir
	Dept. Informatics-Systems, University of Klagenfurt
	A wavelet-based neuro-fuzzy system and its applications [#397]
	Cheng-Jian Lin
	Department of Computer Science and Information Engineering Chaoyang University of Technology
	Feature extraction for neural-fuzzy inference system [#233]
	Chai Quek, Geok See Ng, and Abdul Wahab
	Nanyang Technological University
	A PID neural network controller [#442]
	Yu Yongquan, Huang Ying, and Zeng Bi
	Guangdong University of Technology
	Modular fuzzy hyperline segment neural network [#842]
	P. M. Patil, U. V. Kulkarni, and T. R. Sontakke
	College of Engineering and Technology, Vishnupuri, India
	Multivariate time series model discovery with similarity-based neuro-fuzzy networks and genetic algorithms [#683]
	Julio J. Valdes and Alan J. Barton
	National Research Council Canada
	Adaptive fuzzy-neural control for uncertain time-delayed systems [#88]
	Wen-Shyong Yu
	EE Dept. Tatung University
	Three improved fuzzy lattice neurocomputing (FLN) classifiers [#50]
	Al Cripps, N. Nguyen, and Vassilis G. Kaburlasos
	Middle Tennessee State University
	Parameter sensitivities of a neuro-based adaptive controller with guaranteed stability [#549]
	M. B. Menhaj and Swakshar Ray
	School of Electrical and Computer Engineering and Department of Computer Science, Oklahoma State University

Plenary Poster Session H1: Adaptive Resonance Theory and Mathematics of Neural Systems
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	A comparative study of the category choice of the fuzzy art with the L-1 norm [#78]
	Issam Dagher
	University of Balamand
	Fuzzy ARTMAP with relevance factor [#229]
	Razvan Andonie, Lucian Sasu, and Valeriu Beiu
	Transylvania University of Brasov
	From categorical semantics to neural network design [#269]
	Michael J. Healy, Thomas P. Caudell and Yunhai Xiao
	University of New Mexico/University of Washington
	Universal approximation with fuzzy ART and fuzzy ARTMAP [#706]
	Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, and Georgios C. Anagnostopoulos
	University of New Mexico and University of New Mexico and University of Central Florida and Florida Institute of Technology
	Perceptron learning in the domain of graphs [#450]
	Brijnesh J. Jain and Fritz Wysotzki
	Technical University Berlin
	A novel approach for training small-sized multi-layer perceptrons [#746]
	Deepak P. Chermakani
	Nanyang Technological University, Singapore
	Accurate initialization of neural network weights by backpropagation of the desired response [#609]
	Deniz Erdogmus, Oscar Fontenla-Romero, Jose C. Principe, Amparo Alonso-Betanzos, Enrique Castillo, and Robert Jenssen
	University of Florida, University of A Coruña, University of Cantabria
	New learning factor and testing methods for conjugate gradient training algorithm [#697]
	Tae-Hoon Kim, Michael T. Manry, and Javier F. Maldonado
	University of Texas at Arlington, Chihuahua Institute of Technology, Chihuahua, Chih., México
	On variable sizes and sigmoid activation functions of multilayer perceptrons [#388]
	Gao Daqi, Liu Hua, and Li Changwu
	Department of Computer, East China University of Science and Technology
	Improve neural network training using redundant structure [#616]
	Yingjie Yang, Chris Hinde, and David Gillingwater
	De Montfort University
	An efficient learning algorithm with second-order convergence for multilayer neural networks [#510]
	Hiroshi Ninomiya, Chikahiro Tomita, and Hideki Asai
	Shonan Institute of Technology
	A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications [#628]
	Brijesh Verma, Rinku Panchal, and Kuldeep Kumar
	Griffith University

Plenary Poster Session H2: Support vector machines
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	Robust optimization in support vector machine training with bounded errors [#386]
	Theodore B. Trafalis and Samir A. Alwazzi
	School of Industrial Engineering-The University of Oklahoma
	A kernel fuzzy classifier with ellipsoidal regions [#408]
	Kenichi Kaieda and Shigeo Abe
	Graduate School of Science and Technology, Kobe University
	A role of total margin in support vector machines [#457]
	Min Yoon, Yeboon Yun, and Hirotaka Nakayama
	Yonsei University
	Comparison of L1 and L2 support vector machines [#698]
	Yoshiaki Koshiba and Shigeo Abe
	Graduate School of Science and Technology, Kobe University
	Fast linear stationary methods for automatically biased support vector machines [#840]
	D. Lai, M. Palaniswami, and N. Mani
	The University of Melbourne
	Identification of chaotic process systems with least squares support vector machines [#686]
	G. T. Jemwa and C. Aldrich
	University of Stellenbosch
	SVM learning with fixed-point math [#474]
	Davide Anguita, Andrea Boni, and Sandro Ridella
	University of trento, Italy
	Optimizing support vector regression hyperparameters based on cross-validation [#484]
	Kentaro Ito and Ryohei Nakano
	Nagoya Institute of Technology
	Design of support vector machine by adaptive aggregation [#497]
	Oscar Chacon, Igor Litvintchev, Ada Alvarez, and Ernesto Vazquez
	Universidad Autonoma de Nuevo Leon
	SMO algorithm for least squares SVM [#90]
	S. Sathiya Keerthi and Shirish K. Shevade
	National University of Singapore

Plenary Poster Session I8: Power System Applications
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	Power system security evaluation using ANN: Feature selection using divergence [#345]
	K. R. Niazi, C. M. Arora, and S. L. Surana
	Malaviya National Institute of Technology, Jaipur, India
	Evaluation of cosine radial basis function neural networks on electric power load forecasting [#8]
	Nicolaos B. Karayiannis, Mahesh Balasubramanian, and Heidar A. Malki
	University of Houston
	Direct torque control of induction motors by use of the GMR neural network [#631]
	G. Cirrincione, M. Cirrincione, C. Lu, and M. Pucci
	ISSIA-CNR
	Neuro-hybrid GA based economic dispatch for utility system [#693]
	N. Kumarappan and M. R. Mohan
	Anna University
	Self-organizing neural-based fuzzy controller for transient stability of multimachine power systems using flywheel battery [#61]
	M. H. Wang and Chin-Pao Hung
	National Chin-Yi Inst. of Technology
	Neural systems for solving the inverse problem about recovering the primary signal waveform in potential transformers [#824]
	Nikola Kasabov, Gancho Venkov, and Stefan Minchev
	Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand

Plenary Poster Session A2: Pattern recognition
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	Recognition system for EMG signals by using non-negative matrix factorization [#743]
	Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, and Norio Akamatsu
	Dept. of Information Science & Intelligent Systems,Faculty of Engineering, University of Tokushima
	Human head detection using multi-modal object features [#340]
	Yun Luo, Yi Lu Murphey, and Farid Khairallah
	University of Michigan - Dearborn, TRW Automotive
	Local voting networks for human face recognition [#480]
	Metin Artiklar, Xiaoyan Mu, Mohamad H. Hassoun, and Paul Watta
	Fatih University and Wayne State University
	Application of four-layer neural network on information extraction [#69]
	Min Han, Lei Cheng, and Hua Meng
	School of Electronic and Information Engineering,Dalian University of Technology
	Submodular neural network is better than modular neural network and support vector machines for personal verification [#243]
	Takashi Nagano, Makoto Hirahara, and Hideo Eguchi
	Faculty of Engineering, Hosei University
	A new class of convolutional neural networks (SICoNNets) and their application to face detection [#645]
	F. H. C. Tivive and Abdesselam Bouzerdoum
	Edith Cowan University
	Permutative coding technique for handwritten digit recognition system [#277]
	E. Kussul and T. Baidyk
	CCADET, UNAM
	3D face recognition by profile and surface matching [#367]
	Gang Pan, Yijun Wu, Zhaohui Wu, and Wenyao Liu
	Zhejiang University
	Various decomposition methods applied to face recognition [#506]
	Jaepil Ko, Eunju Kim, and Hyeran Byun
	Dept. Computer Science, Yonsei University
	Feature selection forcing overtraining may help to improve performance [#517]
	Enrique Romero, Josep M. Sopena, Gorka Navarrete, and René Alquézar
	Universitat Politècnica de Catalunya
	Pattern recognition device using scalar vector graphics [#619]
	Rex Sandwith
	Living Database
	A novel electromyography (EMG) based classification approach for arabic handwriting [#690]
	Azzedine Lansari, Faouzi Bouslama, Mohammed Khasawneh, and Akram Al-Rawi
	Zayed University
	An adaptive sparse distributed memory [#728]
	Jose Aguilar
	Universidad de los Andes
	Modular neural networks for solving high complexity problems [#731]
	Hazem Mokhtar El-Bakry
	Asistant Lecturer - Faculty of computer science and Information Systems- Mansoura Univeristy - Egypt
	Human face recognition based on radial basis probabilistic neural network [#53]
	Lin Guo and De-Shuang Huang
	Institute of Intelligent Machines, Chinese Academy of Sciences
	Classification of the italian liras using the LVQ method [#60]
	Sigeru Omatu
	Osaka Prefecture University
	A method of biomimetic pattern recognition for face recognition [#86]
	Wang Zhi-hai, Mo Hua-Yi, Lu Hua-Xiang, and Wang Shou-Jue
	Lab of Artificial Neural Networks, Institute of Semiconductors, Chinese Academic of Science, Beijing, China
	Neural interpolator for image recognition [#278]
	O. Makeyev
	Kyiv National Taras Shevchenko University
	A neuro-fuzzy graphic object classifier with modified distance measure estimator [#472]
	R. A. Aliev, B. G. Guirimov, and R. R. Aliev
	Azerbaijan State Oil Academy
	Combinative neural-network-based classifiers for optical handwritten character and letter recognition [#539]
	Gao Daqi, Xie Chao, and Nie Guiping
	Department of Computer, East China University of Science and Technology
	Document clustering using hierarchical SOMART neural network [#540]
	M. F. Hussin and Mohamed Kamel
	University of Alexandria
	Facial expression recognition combined with robust face detection in a convolutional neural network [#644]
	Masakazu Matsugu, Katsuhiko Mori, Yusuke Mitarai, and Yuji Kaneda
	Canon Research Center
	Hierarchical learning of optimal linear representations [#654]
	Qiang Zhang and Xiuwen Liu
	Computer Science Dept. Florida State University
	GA-SVM wrapper approach for feature subset selection in keystroke dynamics identity verification [#301]
	Enzhe Yu and Sungzoon Cho
	Department of Industrial Engineering, Seoul National University, Korea
	Biomimetic (topological) pattern recognition: A new model of pattern recognition theory and its application [#236]
	Wang Shoujue Chen Xu
	Artificial Neural Networks Laboratory, Institute of Semiconductors, Chinese Academy of Sciences
	A feature extraction of the EEG during listening to the music using the factor analysis and neural networks [#730]
	Shin-ichi Ito, Yasue Mitsukura, Minoru Fukumi, and Norio Akamatsu
	University of Tokushima
	Gene expression data analysis using support vector machines [#719]
	Feng Chu and Lipo Wang
	Nanyang Technological University
	Robust recognition based on adaptive combination of weak classifiers [#777]
	Guoping Wang, Misha Pavel, and Xubo Song
	OGI School of Science & Engineering at Oregon Health & Science University
	Optimizing radial basis probabilistic neural networks using recursive orthogonal least squares algorithms combined with micro-genetic algorithms [#346]
	Wenbo Zhao, De-Shuang Huang, and Lin Guo
	Department of Automation, University of Science and Technology of China
	Using artificial neural networks to identify headings in newspaper documents [#702]
	Wei Zhange and Timothy L. Andersen
	Boise State University
	"Freecell" neural network heuristics [#453]
	Alphonsus Dunphy and Malcolm I. Heywood
	Dalhousie University
	Layered neural network training with model switching and hidden layer feature regularization [#798]
	Keisuke Kameyama and Kei Taga
	University of Tsukuba
	Multi class support vector machine implementation to intrusion detection [#422]
	Tarun Ambwani
	K. K. Wagh College Of Engineering, Nasik, INDIA
	On the efficiency of orthogonal least squares reduced probabilistic neural networks [#363]
	Gilles Labonte
	Royal Military College of Canada
	A multivalent logic approach to risk estimation of learning machines [#788]
	Bojan Novak
	Univeristy of Maribor, FERI, Smetanova 17, 2000 Maribor, Slovenija
	Toward a modular connectionist model of local chlorophyll concentration from satellite images [#568]
	E. Trentin, L. Magnoni, and A. Andronico
	Dip. di Ingegneria dell'Informazione, Univ. di Siena - Via Roma, 56 Siena (Italy) 53100
	Improved defect detection using support vector machines and wavelet feature extraction based on vector quantization and SVD techniques [#784]
	D. A. Karras
	Hellenic Aerospace Industry
	Three heuristics for receptive field optimization for ensemble encoding [#761]
	Ashraf M. Abdelbar, Deena O. Hassan, Gene A. Tagliarini, and Sridhar Narayan
	American University in Cairo

Plenary Poster Session F3: Optimization and Control
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	A general projection neural network for solving optimization and related problems [#239]
	Youshen Xia and Jun Wang
	Chinese University of Hong Kong
	Extended simulated annealing for augmented TSP and multisalesmen TSP [#325]
	Chi-Hwa Song, Kyunghee Lee, and Won Don Lee
	Dept. of Computer Science Chungnam National University Daejeon, Korea
	Support vector machines and the electoral college [#398]
	Alexander Malyscheff and Theodore B. Trafalis
	School of Industrial Engineering, University of Oklahoma
	Mixed analog/digital system for quadratic assignment problems [#676]
	Yukihiro Kobayashi
	Tokyo Denki University
	Distribution approximation, combinatorial optimization, and Lagrange-barrier [#716]
	Lei Xu
	Department of Computer Science and Engineering, The Chinese University of Hong Kong
	Synthesis of a k-winners-take-all neural network using linear programming with bounded variables [#531]
	L. V. Ferreira, E. Kaszkurewicz, and A. Bhaya
	NACAD/COPPE/UFRJ
	Regularization and feedforward artificial neural network training with noise [#26]
	Pravin Chandra and Yogesh Singh
	School of Information Technology, GGS Indraprastha University, Kashmere Gate, Delhi - 110006, INDIA
	Hybrid adaptive fuzzy control wing rock motion system with H8 robust performance [#235]
	Chin-Teng Lin, Tsu-Tian Lee, Chun-Fei Hsu, and Chih-Min Lin
	National Chiao-Tung University, Taiwan
	Parameter plane analysis of neurocontrol vehicle systems for limit cycle prediction [#307]
	Bing-Fei Wu, Jau-Woei Perng, and Tsu-Tian Lee
	Department of Electrical and Control Engineering, National Chiao Tung University
	Parameter sensitivities of a neuro-based adaptive controller with guaranteed stability [#813]
	M. B. Menhaj and Swakshar Ray
	Oklahoma State University, Stillwater
	Maximum entropy utility equilibrium of mobile agents with aggregated statistical behaviours [#684]
	Alexandru Murgu
	University of Jyvaskyla, Finland
	Robust tracking control of uncertain nonlinear systems with an input time delay [#232]
	Chiang-Cheng Chiang and Tzu-Ching Tung
	Tatung University, Taiwan
	Development of autonomous flight control system for unmanned helicopter by use of neural networks [#748]
	Hiroaki Nakanishi and Koichi Inoue
	Kyoto University
	Constructive neural network in model-based control of a biotechnological process [#600]
	L. A. C. Meleiro, R. Maciel Filho, and F. J. Von Zuben
	Unicamp/Brazil
	Lyapunov stability analysis of the quantization error for DCS neural networks [#500]
	Sampath Yerramalla, Edgar Fuller, and Bojan Cukic
	Department of Computer Science/Department of Mathematics, West Virginia University
	An in-vehicle virtual driving assistant using neural nets [#799]
	Anya Tascillo and Ronald Miller
	Ford Motor Company
	Transition between position-matching control and rhythm-matching control in hand tracking task is explained by a phase model for hand motion [#297]
	Fumihiko Ishida, Yoshiki Kuramoto, and Yasuji Sawada
	Graduate School of Information Systems University of Electro-Communications, Graduate School of Sciences Kyoto University, Department of Communication Tohoku Institute of Techonology
	Applying guided evolutionary simulated annealing to cost-based abduction [#662]
	Ashraf M. Abdelbar and Heba Amer
	American University in Cairo

Plenary Poster Session I3: Time Series Analysis and Financial Engineering
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	Radial basis network approach for non linear filtering in discrete time [#265]
	Vivien Rossi and Jean-Pierre Vila
	INRA-ENSAM
	Stock market prediction using neural networks: Does trading volume help in short-term prediction? [#59]
	Xiaohua Wang, Paul Kang Hoh Phua, and Weidong Lin
	School of Computing, National University of Singapore, Singapore
	An adaptive detection of anomalies in user's behavior [#548]
	Artem M. Sokolov
	International Research and Training Center of Informational Technologies and Systems
	Neural networks and Cao's method: A novel approach for air pollutants time series forecasting [#503]
	S. Marra, F. C. Morabito, and M. Versaci
	Università "Mediterranea" degli Studi di Reggio Calabria - DIMET
	Time series identifying and modeling with neural networks [#58]
	Dayong Gao, Y. Kinouchi, K. Ito, and Xueli Zhao
	University of Tokushima, Japan and University of Montreal, Canada
	Prediction of white noise time series using artificial neural networks and asymmetric cost functions [#672]
	Sven F. Crone
	University of Hamburg, Institute of Information Systems
	Autonomous diagnostics and prognostics through competitive learning driven HMM-based clustering [#664]
	Ratna Babu Chinnam and Pundarikaksha Baruah
	Wayne State University
	Improving data based nonlinear process modelling through Bayesian combination of multiple neural networks [#455]
	Zainal Ahmad and Jie Zhang
	University of Newcastle, U.K.
	Robust short term prediction using combination of linear regression and modified probabilistic neural network model [#77]
	Tony Jan
	Faculty of Information Technology, University of Technology, Sydney, Australia
	Fast and efficient second-order training of the dynamic neural network paradigm [#433]
	Christian Gruber and Bernhard Sick
	University of Passau, Faculty of Mathematics and Computer Science
	Apply decision tree and support vector regression to predict the gold price [#467]
	Pedrudee Ongsritrakul and Nuanwan Soonthornphisaj
	Department of Computer Science, Faculty of Science, Kasetsart University
	Neural smoothing transition coefficients for nonlinear processes in mean and variance [#617]
	Maria Luiza F. Velloso, Marley M. B. R. Vellasco, Marco Aurelio P. Cavalcante, and Cristiano Fernandes
	DETEL, Uerj - Rio de Janeiro State University
	Adaptive vs. accommodative neural networks for adaptive system identification: Part II [#566]
	James T. Lo and Devasis Bassu
	Department of Mathematics and Statistics, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250

Plenary Poster Session B2: Learning and memory
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	A neural network for the typicality effects [#242]
	Makoto Hirahara and Takashi Nagano
	Faculty of Engineering, Hosei University
	Detecting rare events with lotto-type competitive learning [#244]
	Andrew Luk and Sandra Lien
	ST B&P Neural Investments Pty Limited
	Growing neural network for aqcuisition of 2-layer structure [#703]
	Ryusuke Kurino, Masanori Sugisaka, and Katsunari Shibata
	Oita University
	Associative memory using ratio rule for multi-valued pattern association [#596]
	Ming-Jung Seow and Vijayan K. Asari
	Old Dominion University
	Learning-possibility of neuron model can recognize depth-rotation in three-dimension space [#462]
	Qianyi Wang, Yasuhiro Sekiya, and Hirosato Nomura
	Department of Artificial Intelligence,Kyushu Institute of Technology, Iizuka, 820-8502, Japan
	Generalized associative memory models for data fusion [#321]
	Teddy N. Yap Jr. and Arnulfo P. Azcarraga
	De La Salle University
	Noise supplement learning algorithm for associative memories using multilayer perceptrons and sparsely interconnected neural networks [#498]
	Yusuke Magori, Takeshi Kamio, Hisato Fujisaka, and Mititada Morisue
	Hiroshima City Univercity
	A study on on-line learning of NNtrees [#241]
	Takeda Takaharu, Qiangfu Zhao, and Yong Liu
	The University of Aizu
	Solving parity–n problems with feedforward neural networks [#779]
	Bogdan M. Wilamowski, David Hunter, and Aleksander Malinowski
	University of Idaho
	An RCE-based associative memory with application to human face recognition [#482]
	Xiaoyan Mu, Mehmet Artiklar, Mohamad H. Hassoun, and Paul Watta
	Wayne State Univesity and University of Michogan-Dearborn

Plenary Poster Session C1: Computational Neuroscience
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	Supervised synaptic weight adaptation for a spiking neuron [#704]
	Bryan A. Davis, Deniz Erdogmus, Yadunandana N. Rao, and Jose C. Principe
	University of Florida
	Different inhibitory effects by dopaminergic modulation and global suppression of activity [#257]
	Takuji Hayashi, Osamu Araki, and Tohru Ikeguchi
	Tokyo University of Science
	Synchronization phenomena of a mutually pulse-coupled network of integrate-and-fire circuits [#752]
	Masanao Shimazaki, Hiroyuki Torikai, and Toshimichi Saito
	EECE Dept., Hosei University
	A neural network model for chemotaxis in Caenorhabditis Elegans [#708]
	N. A. Dunn, J. S. Conery, and S. R. Lockery
	Institute of Neuroscience, University of Oregon
	Associative memories with "killed" neurons: The methods of recovery [#356]
	A. M. Reznik, A. S. Sitchov, O. K. Dekhtyarenko, and D. W. Nowicki
	The Institute of the Mathematical Machines and Systems
	Incremental learning in dynamic environments using neural network with long-term memory [#766]
	Kenji Tsumori and Seiichi Ozawa
	Graduate School of Science and Technology, Kobe University

Plenary Poster Session B1: Cognitive Information Processing
Tuesday, July 22, 7:00PM-10:00PM, Room: Grand Ballroom

	Quantum generation of neural networks [#623]
	Hugo de Garis, Ravichandra Sriram, and Zijun Zhang
	Utah State University
	Emotion recognition and acoustic analysis from speech signal [#421]
	Chang-Hyun Park and Kwee-Bo Sim
	Chung Ang University
	Phrase detection and the associative memory neural network [#559]
	Richard C. Murphy
	Computer Science and Engineering Department, University of Notre Dame
	Working of the brain and rationality in economic behavior [#792]
	Kazuo Nshimura and Yoshikazu Tobinaga
	Nano Device and System Research, Inc.
	Systemic intelligence: Methods for growing up artefacts that live [#768]
	Nils Goerke
	Department of Neuroinformatics, University of Bonn
	A self-organizing neural structure for concept formation from incomplete observation [#797]
	Noriyasu Homma and Madan M. Gupta
	Tohoku University, University of Saskatchewan
	Hidden representation after reinforcement learning of hand reaching movement with variable link length [#674]
	Katsunari Shibata and Koji Ito
	Oita University

Plenary Talk P3: Plenary talk - Fukushima
Wednesday, July 23, 8:00AM-9:00AM, Room: Mount Saint Helens Ballroom, Speaker: Kunihiko Fukushima

Special Session W1S: Patient Care and Clinical Decision Support
Wednesday, July 23, 9:20AM-10:20AM, Room: Multnomah, Chair: Jim DeLeo and Roberto Tagliaferri

9:20AM	Survival analysis and neural networks [#459]
	Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano, S. De Placido, and M. De Laurentiis
	DMA, Università di Napoli and INFN Sez. Napoli
9:40AM	Application of probabilistic neural networks to population pharmacokinetics [#783]
	E. Berno, L. Brambilla, R. Canaparo, F. Casale, M. Costa, C. Della Pepa, M. Eandi, and E. Pasero
	Universita di Torino, Italy
10:00AM	Finding patient cluster attributes using auto-associative ANN modeling [#584]
	Zvi Boger
	OPTIMAL - Industrial Neural Systems Ltd.

Session W1T: Mixture models, EM algorithms and ensemble learning
Wednesday, July 23, 9:20AM-10:20AM, Room: Clark, Chair: Lei Xu

9:20AM	Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents [#687]
	Lei Xu
	Dept of Computer Science and Engineering, The Chinese Univ. of Hong Kong
9:40AM	A comparison of ensemble methods for multilayer feedforward networks [#73]
	Carlos Hernandez-Espinosa, Mercedes Fernandez-Redondo, and Mamen Ortiz-Gomez
	Universidad Jaume I, Castellon, Spain
10:00AM	MMI-based training for a probabilistic neural network [#713]
	Nan Bu, Toshio Tsuji, and Osamu Fukuda
	Hiroshima University

Session W1B: Diagnostics and Quality Control
Wednesday, July 23, 9:20AM-10:20AM, Room: Clackamas, Chair: F. Carlo Morabito

9:20AM	Intelligent strain sensing on a smart composite wing using extrinsic Fabry-Perot interferometric sensors and neural networks [#828]
	Rohit Dua, Vicki Eller, Kakkattukuzhy M. Isaac, Steve E. Watkins, and Donald C. Wunsch II
	University of Missouri-Rolla
9:40AM	A novel approach to fault classification using sparse sets of exemplars [#637]
	Erik M. Laxdal and Nikitas J. Dimopoulos
	University of Victoria
10:00AM	Case base reasoning in vehicle fault diagnostics [#737]
	Ziyan Wen, Jacob Crossman, John Cardillo, and Yi Lu Murphey
	University of Michigan-Dearborn

Special Session W1A: Incremental Learning
Wednesday, July 23, 9:20AM-10:20AM, Room: Washington, Chair: Robi Polikar

9:20AM	SVM incremental learning, adaptation and optimization [#551]
	Christopher P. Diehl and Gert Cauwenberghs
	Johns Hopkins University
9:40AM	Formal models of incremental learning and their analysis [#569]
	Steffen Lange and Sandra Zilles
	DFKI, Saarbruecken, Germany; University Kaiserslautern, FB Informatik
10:00AM	Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts [#742]
	Arindam Banerjee and Joydeep Ghosh
	University of Texas at Austin

Special Session W2S: Autonomous Mental Development
Wednesday, July 23, 10:30AM-11:50AM, Room: Multnomah, Chair: John Weng and Olaf Sporns

10:30AM	Early integration of vision and manipulation [#850]
	Giorgio Metta and Paul Fitzpatrick
	University of Genova and MIT AI Laboratory
10:50AM	Investigating models of social development with a humanoid robot [#857]
	Brian Scassellati
	Yale University
11:10AM	Developing early senses about the world: "object permanence'' and visuoauditory real-time learning [#860]
	Juyang Weng, Yilu Zhang, and Yi Chen
	Department of Computer Science and Engineering, Michigan State University
11:30AM	Automatic language acquisition by an autonomous robot [#856]
	Stephen Levinson, Weiyu Zhu, Danfeng Li, Kevin Squire, Ruei-sung Lin, Matthew Kleffner, Matthew McClain, and Johnny Lee
	University of Illinois at Urbana-Champaign

Session W2T: Probabilistic and Information-Theoretic Methods
Wednesday, July 23, 10:30AM-11:50AM, Room: Clark, Chair: Lei Xu

10:30AM	Evaluation of neural and entropy-constrained routing of communication networks [#9]
	Nicolaos B. Karayiannis, Nagabhushan Kaliyur S. M., and Heidar A. Malki
	University of Houston
10:50AM	Non-information-maximizing neural coding [#778]
	Michael Stiber
	Univ. of Washington, Bothell
11:10AM	Information theoretic self-organizing maps [#371]
	Ryotaro Kamimura and Haruhiko Takeuchi
	Tokai University
11:30AM	Almost all noise types can improve the mutual information of threshold neurons that detect subthreshold signals [#823]
	B. Kosko and S. Mitaim
	University of Southern California, Thammasat University

Session W2B: Auditory Processing
Wednesday, July 23, 10:30AM-11:50AM, Room: Clackamas, Chair: DeLiang Wang

10:30AM	Cognitive modeling of symbolic-like relationships with the adaptive neural network associator (ANNA) [#295]
	Rainer Spiegel
	University of London, Goldsmiths College and University of Cambridge, Wolfson College
10:50AM	A hypothetical mechanism of auditory processing for extraction of directional cues: Integration with oculomotor function [#677]
	Vladimir A. Gorelik
	Neuronix
11:10AM	Discovering hierarchical speech features using convolutional non-negative matrix factorization [#833]
	Sven Behnke
	International Computer Science Institute, Berkeley

Session W2A: Incremental Learning
Wednesday, July 23, 10:30AM-11:50AM, Room: Washington, Chair: Robi Polikar

10:30AM	Incremental rule learning with partial instance memory for changing concepts [#285]
	Marcus A. Maloof
	Georgetown University
10:50AM	Ensemble of classifiers based incremental learning with dynamic voting weight update [#538]
	Robi Polikar, Stefan Krause, and Lyndsay Burd
	Rowan University
11:10AM	Incremental learning with sleep: Function approximation and classification [#709]
	Koichiro Yamauchi
	Graduate School of Engineering, Hokkaido University
11:30AM	Exemplar-based pattern recognition via semi-supervised learning [#721]
	Georgios C. Anagnostopoulos, Madan Bharadwaj, Michael Georgiopoulos, Stephen J. Verzi, and Gregory L. Heileman
	Florida Institute of Technology

Special Session W3S: Autonomous Mental Development
Wednesday, July 23, 1:20PM-3:00PM, Room: Multnomah, Chair: John Weng and Olaf Sporns

1:20PM	Investigating the emergence of shared attention: A progress report [#855]
	Jochen Triesch, Eric Carlson, Gedeon Deak, and Javier Movellan
	Dept. of Cognitive Sciene, UC San Diego
1:40PM	Neuromodulation in a learning robot: Interactions between neural plasticity and behavior [#852]
	Olaf Sporns and William H. Alexander
	Indiana University
2:00PM	Lessons from ethology for computational models of development [#861]
	Bruce Blumberg, Matt Berlin, Daphna Buchsbaum, Marc Downie, Derek Lyons, and Jennie Cochran
	The Media Lab, MIT
2:20PM	Generating structure in sensory data through coordinated motor activity [#853]
	Olaf Sporns and Teresa Pegors
	Indiana University
2:40PM	Learning communities: Connectivity and dynamics of interacting agents [#854]
	Tanzeem Choudhury, Brian Clarkson, Sumit Basu, and Alex Pentland
	MIT

Session W3T: Recurrent Networks
Wednesday, July 23, 1:20PM-3:00PM, Room: Clark, Chair: Lee Feldkamp

1:20PM	Finding least cost proofs using high order recurrent networks [#639]
	Ashraf M. Abdelbar, Emad A. M. Andrews, and Gene A. Tagliarini
	American University in Cairo
1:40PM	Feature selection assessment and comparison using two saliency measures in an Elman recurrent neural network [#287]
	Trevor I. Laine and Kenneth W. Bauer
	Air Force Institute of Technology
2:00PM	Prediction of pitch and yaw head movements via recurrent neural networks [#627]
	M. Aguilar, Y. Barniv, and A. Garrett
	Knowledge Systems Lab., MCIS Dept., Jacksonville State University
2:20PM	Attempting to reduce the vanishing gradient problem through a novel recurrent multiscale architecture [#469]
	Stefano Squartini, Amir Hussain, and Francesco Piazza
	università politecnica delle marche

Session W3B: Spiking Neurons
Wednesday, July 23, 1:20PM-3:00PM, Room: Clackamas, Chair: William B. Levy

1:20PM	BSA, a fast and accurate spike train encoding scheme [#513]
	Benjamin Schrauwen and Jan Van Campenhout
	Electronics and Information Systems Department, Ghent University
1:40PM	Electrotonic effects on spike response model dynamics [#279]
	Giorgio A. Ascoli
	Krasnow Institute for Advanced Study and Psychology Department, George Mason University
2:00PM	An automated method for neuronal spike source identification [#781]
	Roberto A. Santiago, James McNames, Kim Burchiel, and George G. Lendaris
	NW Computational Intelligence Lab, Portland State University
2:20PM	Statistical approach to unsupervised recognition of spatio-temporal patterns by spiking neurons [#351]
	M. V. Kiselev
	Megaputer Intelligence Ltd.
2:40PM	Trust region nonlinear optimization learning method for dynamic synapse neural networks [#291]
	Hassan H. Namarvar and Theodore W. Berger
	Department of Biomedical Engineering, University of Southern California

Session W3A: Time Series Analysis and Financial Engineering
Wednesday, July 23, 1:20PM-3:00PM, Room: Washington, Chair: Fred Ham

1:20PM	Analyzing dividend events with neural network rule extraction [#390]
	Ming Dong and Xu-Shen Zhou
	Wayne State University
1:40PM	SVM learning from large training data set [#308]
	Yi Lu Murphey, ZhiHang Chen, May Putrus, and Lee A. Feldkamp
	University of Michigan-Dearborn
2:00PM	Neural networks and rule extraction for prediction and explanation in the marketing domain [#536]
	Ulf Johansson, Cecilia Sonstrod, Rikard Konig, and Lars Niklasson
	Department of Business and Informatics
2:20PM	On the statistical efficiency of the LMS family of adaptive algorithms [#814]
	Bernard Widrow and Max Kamenetsky
	Stanford University

Special Session W4S: Geometric Neurocomputing
Wednesday, July 23, 3:20PM-5:00PM, Room: Multnomah, Chair: Eduardo Bayro-Corrochano

3:20PM	The role of the quaternion Fourier descriptors for preprocessing in neuralcomputing [#734]
	Eduardo Bayro-Corrochano, Noel Trujillo, and Michel Naranjo
	CINVESTAV, Unidad Guadalajara, Ciencias de la Computación, Jalisco, Mexico
3:40PM	Single layer feedforward neural network based on lattice algebra [#614]
	Gerhard X. Ritter and Laurentiu Iancu
	University of Florida
4:00PM	Design of kernels for support multivector machines involving the clifford gometric product and the conformal geometric neuron [#732]
	Eduardo Bayro-Corrochano, Nancy Arana, and Refugio Vallejo
	CINVESTAV, Unidad Guadalajara, Ciencias de la Computación, Jalisco, Mexico
4:20PM	A computational model of visual perception of surfaces [#839]
	Hamid Eghbalnia and Amir Assadi
	University of Wisconsin-Madison

Session W4T: Reinforcement Learning and Adaptive Dynamic Programming
Wednesday, July 23, 3:20PM-5:00PM, Room: Clark, Chair: Danil V. Prokhorov

3:20PM	An enhanced least-squares approach for reinforcement learning [#374]
	Hailin Li and Cihan H. Dagli
	229 Engineering Management, University of Missouri-Rolla, Rolla MO,65409
3:40PM	Tabu search exploration for on-policy reinforcement learning [#384]
	Myriam Abramson and Harry Wechsler
	George Mason University
4:00PM	Dynamic pricing and reinforcement learning [#846]
	Alexandre X. Carvalho and Martin L. Puterman
	University of British Columbia
4:20PM	Accelerating critic learning in approximate dynamic programming via value templates and perceptual learning [#774]
	Thaddeus T. Shannon, Roberto A. Santiago, and George G. Lendaris
	Portland State University, Portland, OR, USA
4:40PM	Autonomous mental development in high dimensional state and action spaces [#807]
	Ameet Joshi and Juyang Weng
	Michigan State University

Session W4B: Bioinformatics
Wednesday, July 23, 3:20PM-5:00PM, Room: Clackamas, Chair: Shiro Usui

3:20PM	Train-spotting: Building classifiers for microarrays [#571]
	Yuxuan Lan, Gavin C. Cawley, and Richard Harvey
	University of East Anglia
3:40PM	Statistical learning for detecting protein-DNA-binding sites [#471]
	Thomas Martinetz, Jan E. Gewehr, and Jan T. Kim
	Institute for Neuro- and Bioinformatics, University of Lübeck
4:00PM	Transductive support vector machines for classification of microarray gene expression data [#446]
	R. Semolini and F. J. Von Zuben
	Unicamp/Brazil
4:20PM	PCA feature extraction for protein structure prediction [#366]
	Jeane C. B. Melo, George D. C. Cavalcanti, and Katia S. Guimaras
	Center of Informatics - Federal University of Pernambuco - Brazil
4:40PM	Modelling the growth domain of clostridium botulinum via kernel survival analysis [#337]
	Robert J. Foxall, Gavin C. Cawley, and Michael W. Peck
	University of East Anglia

Session W4A: Power System Applications
Wednesday, July 23, 3:20PM-5:00PM, Room: Washington, Chair: Ron Harley

3:20PM	An adaptive neural network identifier for effective control of a static compensator connected to a power system [#739]
	Salman Mohagheghi, Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy, and Mariesa L. Crow
	Georgia Institute of Technology
3:40PM	Adaptive neural network based power system stabilizer design [#827]
	W. Liu, Ganesh K. Venayagamoorthy, and Donald C. Wunsch II
	Department of Electrical and Computer Engineering, University of Missouri – Rolla, Rolla, MO 65401
4:00PM	A novel dual heuristic programming based optimal control of a series compensator in the electric power transmission system [#740]
	Jung-Wook Park, Ronald G. Harley, and Ganesh K. Venayagamoorthy
	Georgia Institute of Technology
4:20PM	A continually online trained neurocontroller for the series branch control of the UPFC [#817]
	R. P. Kalyani and Ganesh K. Venayagamoorthy
	University of Missouri - Rolla
4:40PM	Fault diagnosis of steam turbine-generator using CMAC neural network approach [#334]
	Chin-Pao Hung, Mang-Hui Wang, Chin-Hsing Cheng, and Wen-Lang Lin
	Departmemt of Electrical Engineering, National Chin-Yi Institute of Technology

Panel Session W5: International Research
Wednesday, July 23, 5:00PM-7:00PM, Room: Multnomah, Chair: Harold H. Szu

Plenary Talk W6: Banquet and Award Presentations
Wednesday, July 23, 7:00PM-9:00PM, Room: Riverview Ballroom - Doubletree Hotel - Columbia River, Hosts: Donald C. Wunsch II and Michael E. Hasselmo

Panel Session W7: Funding resources
Wednesday, July 23, 9:00PM-10:00PM, Room: Multnomah, Chair: Paul Werbos

Plenary Talk P4: Plenary talk - Von der Malsburg
Thursday, July 24, 8:00AM-9:00AM, Room: Mount Saint Helens Ballroom, Speaker: Christoph Von der Malsburg

Special Session Th1S: Applications in Aerospace
Thursday, July 24, 9:20AM-10:40AM, Room: Multnomah, Chair: Robert J. Marks and John Vian

9:20AM	Layered URC fuzzy systems: A novel link between fuzzy systems and neural networks [#685]
	Jeffrey J. Weinschenk, Robert J. Marks II, and W. E. Combs
	University of Washington
9:40AM	Vibration analysis via neural network inverse models to determine aircraft engine unbalance condition [#826]
	Xiao Hu, John Vian, Joseph R. Slepski, and Donald C. Wunsch II
	University of Missouri-Rolla; Boeing Phatom Works
10:00AM	Missing sensor data restoration for vibration sensors on a jet aircraft engine [#695]
	Sreeram Narayanan, John Vian, Jai Choi, Robert J. Marks II, Mohamed A. El-Sharkawi, and Benjamin B. Thompson
	University of Washington
10:20AM	On the contractive nature of autoencoders: Application to missing sensor restoration [#663]
	Benjamin B. Thompson, Robert J. Marks II, and Mohamed A. El-Sharkawi
	University of Washington

Session Th1T: Recurrent networks
Thursday, July 24, 9:20AM-10:40AM, Room: Clark, Chair: Lee Feldkamp

9:20AM	Conditioned adaptive behavior from Kalman filter trained recurrent networks [#818]
	Lee A. Feldkamp, Danil V. Prokhorov, and Timothy M. Feldkamp
	Ford Motor Company
9:40AM	Using reconstructability analysis to select input variables for artificial neural networks [#525]
	Stephen Shervais and Martin Zwick
	Eastern Washington University and Portland State University
10:00AM	Fascinating rhythms by chaotic Hopfield networks [#495]
	Colin Molter and Hugues Bersini
	iridia- University of Brussels
10:20AM	Modular neural associative memory capable of storage of large amounts of data [#355]
	A. M. Reznik and O. K. Dekhtyarenko
	The Institute of the Mathematical Machines and Systems

Session Th1B: Learning and memory
Thursday, July 24, 9:20AM-10:40AM, Room: Clackamas, Chair: Daniel S. Levine

9:20AM	Implicant network: An associative memory model [#339]
	Diego Federici
	Norwegian University of Science and Technology
9:40AM	Improving generalization by teacher-directed learning [#370]
	Ryotaro Kamimura
	Tokai Univerisity
10:00AM	eLoom: A specification, simulation and visualization engine for modeling arbitrary hierarchical neural architectures [#564]
	Yunhai Xiao, Thomas Preston Caudell, and Michael J. Healy
	Dept. of ECE, University of New Mexico
10:20AM	Multi-map self-organization for sensorimotor learning: A cortical approach [#487]
	Olivier Menard and Herve Frezza-Buet
	Loria Supelec

Session Th1A: Applications
Thursday, July 24, 9:20AM-10:40AM, Room: Washington, Chair: Joydeep Ghosh

9:20AM	Image restoration using chaotic simulated annealing [#718]
	Leipo Yan and Lipo Wang
	Nanyang Technological University
9:40AM	Fuzzy Markov predictor in multi-step electric load forecasting [#670]
	Marcelo Teixeira and Gerson Zaverucha
	COPPE / UFRJ
10:00AM	Algorithm for automatic classification of data based on Mahalanobis metrics [#501]
	Allan de Medeiros Martins, Adriao Duarte Doria Neto, and Jorge Dantas de Melo
	UFRN

Special Session Th2S: Bioinformatics
Thursday, July 24, 10:50AM-12:10PM, Room: Multnomah, Chair: Francesco Masulli and Larry Reeker

10:50AM	Gene selection and classification by entropy-based recursive feature elimination [#553]
	C. Furlanello, M. Serafini, S. Merler, and G. Jurman
	ITC-irst
11:10AM	Spectral clustering of protein sequences [#632]
	Alberto Paccanaro, Chakra Chennubhotla, James A. Casbon, and Mansoor A. S. Saqi
	Bioinformatics Unit, Dept. of Medical Microbiology, Queen Mary University of London
11:30AM	An ensemble approach to variable selection for classification of DNA microarray data [#546]
	Francesco Masulli and Stefano Rovetta
	University of Pisa/University of Genova/INFM, Italy
11:50AM	Artificial neural networks methods for the identification of the most relevant genes from gene expression array data [#587]
	Zvi Boger
	OPTIMAL - Industrial Neural Systems Ltd.

Session Th2T: Mathematics of Neural Systems
Thursday, July 24, 10:50AM-12:10PM, Room: Clark, Chair: George G. Lendaris

10:50AM	Flow invariance for competitive neural networks for different time-scales [#385]
	Anke Meyer-Baese and Sergei S. Pilyugin
	Florida State University
11:10AM	A novel neural approach to inverse problems with discontinuities (the GMR neural network) [#427]
	G. Cirrincione, M. Cirrincione, C. Lu, and S. Van Huffel
	ISSIA-CNR
11:30AM	Artificial neural network implementation using many-valued quantum computing [#770]
	Anas N. Al-Rabadi and George G. Lendaris
	Portland State University
11:50AM	Incorporating invariants in Mahalanobis distance based classifiers: Application to face recognition [#867]
	Andrew M. Fraser, Nicolas W. Hengartner, Kevin R. Vixie, and Brendt E. Wohlberg
	Los Alamos National Laboratory
12:10PM	Networks of width one are universal classifiers [#735]
	Raul Rojas
	University of Pennsylvania

Session Th2B: Speech Recognition and Production
Thursday, July 24, 10:50AM-12:10PM, Room: Clackamas, Chair: Ke Chen

10:50AM	Sub auditory speech recognition based on EMG signals [#252]
	Chuck Jorgensen, Diana Lee, and Shane Agabon
	NASA Ames Research Center
11:10AM	Robust command recognition using kernel learning algorithms [#296]
	Hassan H. Namarvar and Theodore W. Berger
	University of Southern California, Department of Biomedical Engineering
11:30AM	Mel-frequency cepstrum coefficients extraction from infant cry for classification of normal and pathological cry with feed-forward neural networks [#378]
	Jose Orozco García and Carlos A. Reyes García
	Instituto Nacional de Astrofisica Optica y Electronica
11:50AM	A new approach for isolated word recognition using dynamic synapse neural networks [#652]
	Alireza A. Dibazar, Hassan H. Namarvar, and Theodore W. Berger
	University of Southern California

Session Th2A: Robotics, Motor Control and Response
Thursday, July 24, 10:50AM-12:10PM, Room: Washington, Chair: Gary Yen

10:50AM	A sensory network for perception-based robotics using neural networks [#834]
	Naoyuki Kubota, Setsuo Hashimoto, and Fumio Kojima
	Fukui University
11:10AM	A RAM-based neural network for collision avoidance in a mobile robot [#821]
	Qiang Yao, Daryl Beetner, Donald C. Wunsch II, and Bjorn Osterloh
	University of Missouri at Rolla
11:30AM	Stability analysis of decentralized cerebellum motor control [#322]
	Aiko Miyamura and Kazuyuki Aihara
	Department of Complexity Science and Engineering - University of Tokyo
11:50AM	A model of cerebellar adaptation of grip forces during lifting [#352]
	Antonio Ulloa, Daniel Bullock, and Bradley J. Rhodes
	Department of Cognitive and Neural Systems, Boston University
12:10PM	Controller design via adaptive critic and model reference method [#775]
	George G. Lendaris, Roberto A. Santiago, J. McCarthy, and M. Carroll
	Portland State University

Session Th3S: Biomimetic applications
Thursday, July 24, 1:20PM-3:00PM, Room: Multnomah, Chair: Harold H. Szu

1:20PM	Theoretical confirmation of simple cell's receptive field of animal's visual systems and efficient navigation applications [#68]
	Liming Zhang and Jianfeng Mei
	Fudan University, Shanghai, China
1:40PM	Detecting early stage of fire using reliable metal oxide gas sensors and artificial neural networks [#302]
	Bancha Charumporn, Michifumi Yoshioka, Toru Fujinaka, and Sigeru Omatu
	Osaka Prefecture University
2:00PM	Biomimetics speaker identification systems for network security gatekeepers [#477]
	Xihong Wu, Dingsheng Luo, Huisheng Chi, and Harold H. Szu
	National Lab. on Machine Perception, Peking University, Beijing, P.R.China
2:20PM	An EMG-controlled omnidirectional pointing device using a HMM-based neural network [#643]
	Osamu Fukuda, Jun Arita, and Toshio Tsuji
	National Institute of Advanced Industrial Science and Technology
2:40PM	A self-aiming camera based on neurophysical principles [#250]
	Samarth Swarup, Tuna Oezer, Sylvian Ray, and Thomas Anastasio
	University of Illinois

Session Th3T: Neural Networks and Evolutionary Computation
Thursday, July 24, 1:20PM-2:20PM, Room: Clark, Chair: Xin Yao

1:20PM	Optimizing the learning of binary mappings [#344]
	John A. Bullinaria
	University of Birmingham, UK
1:40PM	The optimization of radial basis probabilistic neural networks based on genetic algorithms [#92]
	Lin Guo, De-Shuang Huang, and Wenbo Zhao
	Institute of Intelligent Machines, Chinese Academy of Sciences
2:00PM	Combining evolving neural network classifiers using bagging [#373]
	Sunghwan Sohn and Cihan H. Dagli
	Smart Engineering Systems Lab

Session Th3B: Pattern Recognition
Thursday, July 24, 1:20PM-3:00PM, Room: Clackamas, Chair: Xiuwen Liu

1:20PM	Classifiability based omnivariate decision trees [#282]
	Ming Dong and Yuanhong Li
	Wayne State University
1:40PM	An efficient algorithm on multi-class support vector machine model selection [#789]
	Peng Xu and Andrew K. Chan
	Texas A & M University
2:00PM	Enhancement of categorizing and learning module (CALM) - embedded detection of signal change [#597]
	Jan Koutnik and Miroslav Snorek
	Czech Technical University, Department of Computer Science and Engineering
2:20PM	A computational model of visual attention [#859]
	Teuvo Kohonen
	Helsinki University of Technology

Session Th3A: Data Mining
Thursday, July 24, 1:20PM-2:20PM, Room: Washington, Chair: Joydeep Ghosh

1:20PM	Knowledge-oriented clustering for decision support [#49]
	Charlotte Bean and Chandra Kambhampati
	University of Hull, United Kingdom
1:40PM	Unsupervised clustering of symbol strings [#543]
	John A. Flanagan
	Nokia Research Center
2:00PM	A new method for explaing neural network reasoning [#489]
	Yingjie Yang, Chris Hinde, and David Gillingwater
	De Montfort University

Plenary Talk P5: Plenary talk - Sejnowski
Thursday, July 24, 3:10PM-4:10PM, Room: Mount Saint Helens Ballroom, Speaker: Terry Sejnowski