Table of Contents Important Events Conference Program Summary Plenary Lectures Invited Lectures Technical Program Session 1.1 (14:15-15:55) CN-1: Computational Neurosciences (5) CVNN-1: Complex-Valued Neural Networks (5) IP-1: Image Processing (5) SP-1: Signal Processing (5) Session 1.2 (16:10-17:50) EC-1: Evolutionary Computation (5) LA-1: Learning Algorithms (5) PR-1: Pattern Recognition (5) FS-1: Fuzzy Systems (5) Session 2.1 (10:30-12:10) CN-2: Computational Neurosciences (5) IP-2: Image Processing (5) PR-2: Pattern Recognition (5) ANT-1: Ant Colony (Special) (5) LA-2: Learning Algorithms (5) Session 2.2 (14:15-15:55) ICA-1: Independent Component Analysis (5) NNA-1: Novel Neural Architecture (5) Cognitive-1: Cognitive Science (5) PR-3: Pattern Recognition (5) Session 2.3 (16:10-17:50) SOM-1: Self-Organizing Maps (5) BioInfo-1: BioInformatics (5) HS-1: Hybrid Systems (5) TS-1: Time Series Prediction (5) Session 3.1 (10:30-12:10) Brain -1: Brain-Like Computing (5) LA-3: Learning Algorithms (5) PR-4: Pattern Recognition (5) Feature-1: Feature Analysis (5) NFS-1: Neuro-Fuzzy Systems (5) Session 3.2 (14:15-15:55) Control-1: Control Systems (5) AIS -1: Adaptive Intelligence System (special) (4) Cognitive-1: Cognitive Science (5) IP-3: Image Processing (5) Session 3.3 (16:10-17:50) Biometrics -1: Biometrics (Face Recognition) (5) LA-4: Learning Algorithms (5) RB-1: Robotics (5) SVM-1: Support Vector Machine (5)

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Session 4.1 (10:30-12:10) EC-2: Evolutionary Computation (5) LA-5: Learning Algorithms (5) NeuroInfo-1: Neuroinformatics (5) SVM-2: Support Vector Machine (5) Session 4.2 (13:40-15:00) LA-6: Learning Algorithms (4) NFS-2: Neuro-Fuzzy Systems (4) Biometrics -2: Biometrics (4) NNH-1: Neural Network Hardware (3)

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November 22, 2004, Monday 8:15-9:30 Registration 9:30-10:15 Opening Ceremony 10:15-11:15 Keynote Speech : Prof. Shun-ichi Amari

Mini Auditorium

11:15-11:45 High Tea 11:45-12:45 Plenary Lecture 1: Prof. Naruya Saitou Mini Auditorium 12:45-14:15 Lunch Break 14:15-15:55 CN-1: Computational Neurosciences Room 1 CVNN-1: Complex-Valued Neural Networks Room 2 IP-1: Image Processing Room 3 SP-1: Signal Processing Room 4 15:55-16:10 Tea Break 16:10-17:50 EC-1: Evolutionary Computation Room 1 LA-1: Learning Algorithms Room 2 PR-1: Pattern Recognition Room 3 FS-1: Fuzzy Systems Room 4

November 23, 2004, Tuesday 9:15-10:15 Plenary Lecture 2: Prof. Walter J Freeman Mini Auditorium 10:15-10:30 Tea Break 10:30-12:10 CN-2: Computational Neurosciences Mini Auditorium IP-2: Image Processing Room 1 PR-2: Pattern Recognition Room 2 ANT-1: Ant Colony (Special) Room 3 LA-2: Learning Algorithms Room 4 12:10-13:40 Lunch 13:40-14:10 Invited Lecture 1: Prof. Erkki Oja Room 1 Invited Lecture 2: Prof. Erol Gelenbe Room 2 14:10-14:15 Break 14:15-15:55 ICA-1: Independent Component Analysis Room 1 NNA-1: Novel Neural Architecture Room 2 Cognitive-1: Cognitive Science Room 3 PR-3: Pattern Recognition Room 4 15:55-16:10 Tea Break 16:10-17:50 SOM-1: Self-Organizing Maps Room 1 BioInfo-1: BioInformatics Room 2 HS-1: Hybrid Systems Room 3 TS-1: Time Series Prediction Room 4

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November 24, 2004, Wednesday

9:15-10:15 Plenary Lecture 3: Prof. Rolf Eckmiller Mini Auditorium 10:15-10:30 Tea Break 10:30-12:10 Brain -1: Brain-Like Computing Mini Auditorium LA-3: Learning Algorithms Room 1 PR-4: Pattern Recognition Room 2 Feature-1: Feature Analysis Room 3 NFS-1: Neuro-Fuzzy Systems Room 4 12:10-13:40 Lunch 13:40-14:10 Invited Lecture 3: Prof. Karmeshu Room 1 Invited Lecture 4: Prof. Nikola Kasavob Room 2 14:10-14:15 Break 14:15-15:55 Control-1: Control Systems Room 1 AIS -1: Adaptive Intelligence System (special) Room 2 Cognitive-2: Cognitive Science Room 3 IP-3: Image Processing Room 4 15:55-16:10 Tea Break 16:10-17:50 Biometrics -1: Biometrics (Face Recognition) Room 1 LA-4: Learning Algorithms Room 2 RB-1: Robotics Room 3 SVM-1: Support Vector Machine Room 4 19:30-21:30 BANQUET

November 25, 2004, Thursday

9:15-10:15 Plenary Lecture 3: Prof. Leon Chua Mini Auditorium 10:15-10:30 Tea Break 10:30-12:10 EC-2: Evolutionary Computation Room 1 LA-5: Learning Algorithms Room 2 NeuroInfo-1: Neuroinformatics Room 3 SVM-2: Support Vector Machine Room 4 12:10-13:40 Lunch 13:40-15:00 LA-6: Learning Algorithms Room 1 NFS-2: Neuro-Fuzzy Systems Room 2 Biometrics -2: Biometrics Room 3 NNH-1: Neural Network Hardware Room 4 15:00-15:15 Tea Break 15:15-16:45 Panel Discussion 17:00-17:45 Closing Ceremony

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Keynote Speech

Prof. Shun-ichi Amari, RIKEN, Brain Science Institute, Japan Dynamics of Learning in Neural Networks Monday, November 22, 2004, 10:15-11:15 Mini Auditorium

Plenary Lectures Plenary Lecture 1: Prof. Naruya Saitou, National Institute of Genetics, Japan: What can we extract from comparative genomic analysis? Monday, November 22, 2004, 11:45-12:45 Mini Auditorium Plenary Lecture 2: by Prof. Freeman, USA Prof. Walter J Freeman, University of California, Berkeley Neurobiological Foundation for the Meaning of Information Tuesday,November 23, 2004, 9:15-10:15 Mini Auditorium Plenary Lecture 3: Prof. Rolf Eckmiller, University of Bonn, Germany Neural Information Processing Efforts to Restore Vision in the Blind Rolf Eckmiller, Oliver Baruth and Dirk Neumann Wednesday, November 24, 2004, 9:15-10:15 Mini Auditorium Plenary Lecture 4: Prof. Leon Chua, University of California at Berkeley CNN: A Brainlike Computer and Paradigm for Complexity Thursday, November 25, 2004, 9:15-10:15 Mini Auditorium

Invited Talks Invited Talk 1: Prof. Erkki Oja, Helsinki University of Technology, Finland Applications of Independent Component Analysis Tuesday, November 23, 2004, 13:40-14:10 Room 1 Invited Talk 2: Prof. Erol Gelenbe, Imperial College, London, UK Cognitive Routing in Packet Networks Tuesday, November 23, 2004, 13:40-14:10 Room 2 Invited Talk 3: Prof. Karmeshu, Jawaharlal Nehru University, India Sequence variability and long-range dependence in DNA: An information theoretic perspective Karmeshu and Krishnamachari Wednesday, November 24, 2004, 13:40-14:10 Room 1 Invited Talk 4: Prof. Nikola Kasabov, Aukland University of Technology, New Zealand TWRBF - Transductive RBF Neural Network with Weighted Data Normalization Qun Song and Nikola Kasabov Wednsay,November 24, 2004, 13:40-14:10 Room 2

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Session 1.1

CN-1: Computational Neurosciences Monday, November 22, 2004, 14:15-15:55

Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons Katsuki Katayama, Masafumi Yano and Tsuyoshi Horiguchi

The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning

Sridharan Devarajan, P.S. Prashanth and V.S. Chakravarthy Memory Modification Induced by Pattern Completion and STDP in

Hippocampal CA3 Model Toshikazu Samura and Motonobu Hattori

A Model that Captures Receptive Field Properties of Orientation Selective Neurons in the Visual cortex

Basabi Bhaumik, Alok Agarwal, Mona Mathur and Manish Manohar Neural Mechanism of Binding ITD Information with IID One for Generating

Brain Map of Sound Localization Kazuhisa Fujita, ShungQuang Huang, Yoshiki Kashimori and Takeshi Kambara

CVNN-1: Complex-Valued Neural Networks Monday, November 22, 2004, 14:15-15:55

Ultra-Wideband Beamforming by Using A Complex-Valued Spatio-Temporal Neural Network Andriyan B. Suksmono and Akira Hirose

A Model of Hopfield-Type Quaternion Neural Networks and Its Energy Function Mitsuo Yoshida, Yasuaki Kuroe and Takehiro Mori

Mode-Utilizing Developmental Learning Based on Coherent Neural Networks Akira Hirose, Yasufumi Asano and Toshihiko Hamano

Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System Ikuko Nishikawa and Yasuaki Kuroe

Two Models for Theta Precession Generation Using the Complex Version of the Nagumo-Sato Neuron Model and the Hodgkin-Huxley Equations

Iku Nemoto

IP-1: Image Processing Monday, November 22, 2004, 14:15-15:55

An Efficient Skew Estimation Technique for Binary Document Images Based on Boundary Growing and Linear Regression Analysis

P. Shivakumara, G. Hemantha Kumar, D. S Guru and P. Nagabhushan Segmenting Moving Objects with a Recurrent Stochastic Neural Network

Jieyu Zhao Real-time Gaze Detection via Neural Network

Kang Ryoung Park CA Based Document Compression Technology

Chandrama Shaw, Biplab K. Sikdar and N. C. Maiti Size-Independent Image Segmentation by Hierarchical Clustering and Its Application for Face Detection

Motofumi Fukui, Noriji Kato, Hitoshi Ikeda and Hirotsugu Kashimura

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SP-1: Signal Processing Monday, November 22, 2004, 14:15-15:55

Cluster and Intrinsic Dimensionality Analysis of the Modified Group Delay Feature for Speaker Classification Rajesh M. Hegde and Hema A. Murthy

Multichannel Blind Deconvolution of Non-minimum Phase System Using Cascade Structure Bin Xia and Liqing Zhang

A Comparative Study of Feature Extraction Algorithms on ANN Based Speaker Model for Speaker Recognition Applications

Goutam Saha, Pankaj Kumar and Sandipan Chakroborty Phase Space Parameters for Neural Network Based Vowel Recognition

P. Prajith, N.S. Sreekanth and N.K. Narayanan Speaker Segmentation Based on Subsegmental Features and Neural Network Models

Dhananjaya N., Guruprasad S. and B. Yegnanarayana

Session 1.2

EC-1: Evolutionary Computation Monday, November 22, 2004, 16:10-17:50

Packing Bins using Multi-chromosomal Genetic Representation and Better-fit Heuristic A. K. Bhatia and S. K. Basu

Data Association for Multiple Target Tracking: An Optimization Approach Mukesh A. Zaveri, S. N. Merchant and Uday B. Desai

Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-Boolean Functions Nilanjan Banerjee and Rajeev Kumar

Multiobjective Genetic Search for Spanning Tree Problem Rajeev Kumar, P. K. Singh and P. P. Chakrabarti

Evaluation of Comprehensive Learning Particle Swarm Optimizer J. J. Liang, A. K. Qin, P. N. Suganthan and S. Baskar

LA-1: Learning Algorithms Monday, November 22, 2004, 16:10-17:50

Some Experiments on Training Radial Basis Functions by Gradient Descent Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez and Joaquin Torres-Sospedra

Adaptive Learning in Incremental Learning RBF Networks T. N. Nagabhushan and S. K. Padma

Multiple Instance Learning with Radial Basis Function Neural Networks Abdelhamid Bouchachia

Leverages Based Neural Networks Fusion Antanas Verikas, Marija Bacauskiene and Adas Gelzinis

A Process of Differentiation in the Assembly Neural Network Alexander Goltsev, Ernst Kussul and Tatyana Baidyk

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PR-1: Pattern Recognition

Monday, November 22, 2004, 16:10-17:50 Local and Recognizable Iso Picture Languages

T. Kalyani, V.R. Dare and D.G. Thomas Classification of SAR Images Through a Convex Hull Region Oriented Approach

Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho and Renata M. C. R. de Souza Performance Advantage of Combined Classifiers in Multi-Category Cases: An Analysis

Xubo Song and Misha Pavel Web Documents Categorization using Neural Networks

Renato Fernandes Correa and Teresa Bernarda Ludermir Two-Stage Duration Model for Indian Languages Using Neural Networks

K. Sreenivasa Rao, S. R. Mahadeva Prasanna and B. Yegnanarayana

FS-1: Fuzzy Systems Monday, November 22, 2004, 16:10-17:50

CMAC with Fuzzy Logic Reasoning Daming Shi, Atul Harkisanka and Chai Quek

A Fuzzy Multilevel Programming Method for Hierarchical Decision Making Bijay Baran Pal and Animesh Biswas

Fuzzy Rule-Based Systems Derived from Similarity to Prototypes Wlodzislaw Duch and Marcin Blachnik

Generalized Rule-Based Fuzzy Cognitive Maps: Structure and Dynamics Model Vadim V. Borisov and Alexander S. Fedulov

Development of Adaptive Fuzzy Based Multi User Detection Receiver for DS-CDMA Sharmistha Panda and Sarat Kumar Patra

Session 2.1

CN-2: Computational Neurosciences Tuesday, November 23, 2004, 10:30-12:10

The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential Seiichi Sakatani and Akira Hirose

Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-Synaptic Interactions Akhil R. Garg, Basabi Bhaumik and Klaus Obermayer

Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density

Shuichi Kato, Seiichi Sakatani and Akira Hirose A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat

Kazuhisa Fujita, Eigo Kamata, Satoru Inoue, Yoshiki Kashimoriand Takeshi Kambara Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model

Mona Mathur and Basabi Bhaumik

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IP-2: Image Processing Tuesday, November 23, 2004, 10:30-12:10

Human-like Selective Attention Model with Reinforcement and Inhibition Mechanism Sang-Bok Choi, Sang-Woo Ban and Minho Lee

Genetic Algorithm for Optimal Imperceptibility in Image Communication through Noisy Channel Santi P. Maity, Malay K. Kundu and Prasanta K. Nandi

High Speed Extraction Model of ROI for Automatic Logistics System Moon-sung Park, Il-sook Kim, Eun-kyung Cho and Young-hee Kwon

Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-Organizing Map Chi-Hang Chan and Irwin King

A Fast MPEG4 Video Encryption Scheme Based on Chaotic Neural Nework Shiguo Lian, Jinsheng Sun, Zhongxin Li and Zhiquan Wang

PR-2: Pattern Recognition Tuesday, November 23, 2004, 10:30-12:10

Time Series Classification for Online Tamil Handwritten Character Recognition -- A Kernel Based Approach K. R. Sivaramakrishnan and Chiranjib Bhattacharyya

Tamil Handwriting Recognition using Subspace and DTW Based Classifiers Niranjan Joshi, G. Sita, A.G. Ramakrishnan and Sriganesh Madhvanath

Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features T. K. Bhowmik, U. Bhattacharya and S. K. Parui

Elastic Matching Algorithms for Online Tamil Character Recognition Niranjan Joshi, G. Sita, A.G. Ramakrishnan and Sriganesh Madhvanath

Automated Classification of Industry and Occupation Codes Using Document Classification Method Heui Seok Lim and Hyeoncheol Kim

ANT-1: Ant Colony Tuesday, November 23, 2004, 10:30-12:10

Minimal Addition-Subtraction Chains with Ant Colony Nadia Nedjah and Luiza de Macedo Mourelle

TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies Vahid Sherafat, Leandro Nunes de Castro and Eduardo R. Hruschka

Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search Fabrício Olivetti de França, Fernando J. Von Zuben andLeandro Nunes de Castro

Investigations into the Use of Supervised Multi-Agents for Web Documents Categorization Siok Lan ONG, Weng Kin LAI, Tracy S. Y. TAI, Choo Hau OOI andKok Meng HOE

OrgSwarm - A Particle Swarm Model of Organizational Adaptation Anthony Brabazon, Arlindo Silva, Tiago Ferra de Sousa, Michael O'Neill,Robin Matthews and Ernesto Costa

LA-2: Learning Algorithms Tuesday, November 23, 2004, 10:30-12:10

Predictive Approaches for Sparse Model Learning S. K. Shevade, S. Sundararajan and S. S. Keerthi

Managing Interference Between Prior and Later Learning L. Andrew Coward, Tamás D. Gedeon and Uditha Ratnayake

A Neural Learning Rule for CCA Approximation Md. Shahjahan and K. Murase

Recurrent Neural Networks for Learning Mixed Kth-Order Markov Chains Wang Xiangrui and Narendra S. Chaudhari

An Efficient Generalization of Battiti-Shanno’s Quasi-Newton Algorithm for Learning in MLP-Networks Carmine Di Fiore, Stefano Fanelli and Paolo Zellini

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Session 2.2

ICA-1: Independent Component Analysis Tuesday, November 23, 2004, 14:15-15:55

Supervised Independent Component Analysis with Class Information Manabu Kotani, Hiroki Takabatake and Seiichi Ozawa

Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image Classification

Dimitris Glotsos, Panagiota Spyridonos, Panagiota Ravazoula,Dionisis Cavouras and George Nikiforidis Temporal Independent Component Analysis for Separating Noisy Signals

Liqing Zhang Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model

Jong-Hwan Lee, Sang-Hoon Oh and Soo-Young Lee Permutation Correction of Filter Bank ICA Using Static Channel Characteristics

Chandra Shekhar Dhir, Hyung Min Park and Soo Young Lee

NNA-1: Novel Neural Architecture Tuesday, November 23, 2004, 14:15-15:55

An Incremental Neural Network for Non-Stationary Unsupervised Learning Shen Furao and Osamu Hasegawa

Computing Convex-layers by a Multi-layer Self-Organizing Neural Network Amitava Datta and Srimanta Pal

Cost-Sensitive Greedy Network-Growing Algorithm with Gaussian Activation Functions Ryotaro Kamimura and Osamu Uchida

The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution Paulito P. Palmes and Shiro Usui

A Neighbor Generation Mechanism Optimizing Neural Networks Amanda Lins and Teresa Ludermir

Cognitive-1: Cognitive Science Tuesday, November 23, 2004, 14:15-15:55

A Connectionist Account of Ontological Boundary Shifting Shohei Hidaka and Jun Saiki

A Neural Network Model For Trace Conditioning Tadashi Yamazaki and Shigeru Tanaka

Chunking Phenomenon in Complex Sequential Skill Learning in Humans V. S. Chandrasekhar Pammi, K. P. Miyapuram, Raju S. Bapi and Kenji Doya

Cognitive Process of Emotion in the Presence of Uncertainty Ayako Onzo and Ken Mogi

Collaborative Agent Learning Using Neurocomputing Saulat Farooque, Ajith Abraham and Lakhmi Jain

PR-3: Pattern Recognition Tuesday, November 23, 2004, 14:15-15:55

Multilayer Feedforward Ensembles for Classification Problems Mercedes Fernández-Redondo, Carlos Hernández-Espinosa andJoaquín Torres-Sospedra

Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances Renata M.C.R. de Souza, Francisco de A.T. de Carvalho and Fabio C.D. Silva

A Two-pass Approach to Pattern Classification S. Basu, C. Chaudhuri, M. Kundu, M. Nasipuri and D.K. Basu

A Long Memory Process Based Parametric Modeling and Recognition of PD Signal Pradeep Kumar Shetty

A Fusion of Neural Network Based Auto-Associator and Classifier for the Classification of Microcalcification Patterns

Rinku Panchal and Brijesh Verma

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Session 2.3

SOM-1: Self-Organizing Maps Tuesday, November 23, 2004, 16:10-17:50

Using Self-Organizing Map in a Computerized Decision Support System Miki Sirola, Golan Lampi and Jukka Parviainen

An Empirical Study on the Robustness of SOM in Preserving Topology with Respect to Link Density Arijit Laha

Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick M. Martin-Merino and A. Muñoz

An Efficient Two-level SOMART Document Clustering Through Dimensionality Reduction Mahmoud F. Hussin, Mohamed S. Kamel and Magdy H. Nagi

Using SOM-Based Data Binning to Support Supervised Variable Selection Sampsa Laine and Timo Simila

BioInfo-1: BioInformatics

Tuesday, November 23, 2004, 16:10-17:50 Modeling Gene Regulatory Network in Fission Yeast Cell Cycle using Hybrid Petri Nets

Ranjith Vasireddy and Somenath Biswas Protein Metal Binding Residue Prediction Based on Neural Networks

Chin-Teng Lin, Ken-Li Lin, Chih-Hsien Yang, I-Fang Chung,Chuen-Der Huang and Yuh-Shyong Yang DNA Sequence Pattern Identification using A Combination of Neuro-Fuzzy Predictors

Horia-Nicolai Teodorescu and Lucian Iulian Fira Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human

Papillomavirus (HPV) Jae-Hong Eom, Seong-Bae Park and Byoung-Tak Zhang

Gene Regulatory Network Discovery from Time-Series Gene Expression Data – A Computational Intelligence Approach

Nikola K. Kasabov, Zeke S. H. Chan, Vishal Jain, Igor Sidorov and Dimiter S. Dimitrov

HS-1: Hybrid Systems Tuesday, November 23, 2004, 16:10-17:50

Intelligent Multi-Agent Based Genetic Fuzzy Ensemble Network Intrusion Detection Siva. S. Sivatha Sindhu, P. Ramasubramanian and A. Kannan

Genetic Algorithm Based Fuzzy ID3 Algorithm Jyh-Yeong Chang, Chien-Wen Cho, Su-Hwang Hsieh and Shi-Tsung Chen

Neural-Evolutionary Learning in a Bounded Rationality Scenario Ricardo Matsumura de Araujo and Luis C. Lamb

Rule Extraction Framework Using Rough Sets and Neural Networks Yi Xu and Narendra S. Chaudhari

A Fusion Neural Network for Estimation of Blasting Vibration A. K. Chakraborty, P. Guha, B. Chattopadhyay, S. Pal and J. Das

TS-1: Time Series Prediction Tuesday, November 23, 2004, 16:10-17:50

Neural Network Classification Algorithm for the Small Size Training Set Situation in the Task of Thin-Walled Constructions Fatigue Destruction Control

Galushkin A.I., Katsin A.S., Korobkova S.V. and Kuravsky L.S. Wavelet-Based Estimation of Hemodynamic Response Function

R. Srikanth, R. Muralishankar and A. G. Ramakrishnan Neural Networks for fMRI Spatio-Temporal Analysis

Luo Huaien and Sadasivan Puthusserypady Modeling Corrupted Time Series Data via Nonsingleton Fuzzy Logic System

Dongwon Kim, Sung-Hoe Huh and Gwi-Tae Park Hydrological Forecasting and Updating Procedures for Neural Network

Mêuser Valença and Teresa Ludermir

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Session 3.1

Brain -1: Brain-Like Computing Wednesday, November 24, 2004, 10:30-12:10

Scene Memory on Competitively Growing Neural Network using Temporal Coding: Self-Organized Learning and Glance Recognizability

Masayasu Atsumi Pulsed Para-Neural Networks (PPNN) Based on MEXOR Logic

Andrzej Buller, Ismail Ahson and Muzaffar Azim Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks

Akitoshi OGAWA and Takashi OMORI Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks

Michal Joachimczak, Beata Grzyb and Daniel Jelinski Knowledge Extraction from Artificial Associative Memory for Helping Senile Dementia Patients

JeongYon Shim

LA-3: Learning Algorithms Wednesday, November 24, 2004, 10:30-12:10

Incremental Learning and Dimension Selection through Sleep Koichiro Yamauchi

The Most Robust Loss Function for Boosting Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi and Noboru Murata

An On-line Learning Algorithm with Dimension Selection using Minimal Hyper Basis Function Networks Kyosuke Nishida, Koichiro Yamauchi and Takashi Omori

Density Boosting for Gaussian Mixtures Xubo Song, Kun Yang and Misha Pavel

Improving kNN Based Text Classification with Well Estimated Parameters Heui Seok Lim

PR-4: Pattern Recognition Wednesday, November 24, 2004, 10:30-12:10

Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network Bin Huang and Bao-Liang Lu

Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining Pradipta Maji and P. Pal Chaudhuri

Investigating the Use of an Agent-based Multi-classifier System for Classification Tasks Anne M. Canuto, Araken M. Santos, Marjory C. Abreu, Valéria M. Bezerra, Fernanda M. Souza and

Manuel F. Gomes Junior A New MDS Algorithm for Textual Data Analysis

M. Martin-Merino and A. Muñoz Development of FLANN Based Multireference Active Noise Controllers for Nonlinear Acoustic Noise Processes

Debi Prasad Das, Ganapati Panda and Sanghamitra Sabat

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Feature-1: Feature Analysis

Wednesday, November 24, 2004, 10:30-12:10 Nonlinear Feature Extraction Using Evolutionary Algorithm

E. K. Tang, P. N. Suganthan and X. Yao Hybrid Feature Selection for Modeling Intrusion Detection Systems

Srilatha Chebrolu, Ajith Abraham and Johnson P. Thomas Feature Selection for Fast Image Classification with Support Vector Machines

Zhi-Gang Fan, Kai-An Wang and Bao-Liang Lu Dimensionality Reduction by Semantic Mapping in Text Categorization

Renato Fernandes Corrêa and Teresa Bernarda Ludermir Non-Linear Dimensionality Reduction by Locally Linear Isomaps

Ashutosh Saxena, Abhinav Gupta and Amitabha Mukerjee

NFS-1: Neuro-Fuzzy Systems Wednesday, November 24, 2004, 10:30-12:10

BDI Agents using Neural Network and Adaptive Neuro Fuzzy Inference for Intelligent Planning in Container Terminals

Prasanna Lokuge and Damminda Alahakoon A Neuro-Fuzzy Approach for Predicting the Effects of Noise Pollution on Human Work Efficiency

Zaheeruddin and Garima Evolving Fuzzy Neural Networks Applied to Odor Recognition

Cleber Zanchettin and Teresa B. Ludermir Differential Evolution Based On-line Feature Analysis in an Asymmetric Subsethood Product

Fuzzy Neural Network C. Shunmuga Velayutham and Satish Kumar

Neuro-Fuzzy System for Clustering of Video Database Manish Manori A, Manish Maheshwari, Kuldeep Belawat, Sanjeev Jain and P. K. Chande

Session 3.2

Control-1: Control Systems Wednesday, November 24, 2004, 14:15-15:55

Asymptotic Stability of Nonautonomous Delayed Neural Networks Qiang Zhang, Xiaopeng Wei, Jin Xu and Dongsheng Zhou

A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay

Zafer Bingul Representation and Identification of Finite State Automata by Recurrent Neural Networks

Yasuaki Kuroe Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning

Andon V. Topalov and Okyay Kaynak State Estimation and Tracking Problems: A Comparison between Kalman Filter and Recurrent Neural Networks

S. Kumar Chenna, Yogesh Kr. Jain, Himanshu Kapoor, Raju S. Bapi, N. Yadaiah, Atul Negi, V. Seshagiri Rao and B. L. Deekshatulu

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AIS -1: Adaptive Intelligence System

Wednesday, November 24, 2004, 14:15-15:55 Self-Organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to

Trailer-Truck Back-Up Control Takanori Koga, Keiichi Horio and Takeshi Yamakawa In-Vehicle Noise and Enhanced Speech Intelligibility

Akbar Ghobakhlou and Richard Kilgour Adaptive Affine Subspace Self-Organizing Map with Kernel Method

Hideaki Kawano, Keiichi Horio and Takeshi Yamakawa An Evolving Neural Network Model for Person Verification Combining Speech and Image

Akbar Ghobakhlou, David Zhang and Nikola Kasabov

Cognitive-2: Cognitive Science Wednesday, November 24, 2004, 14:15-15:55

The Locus of Word Length and Frequency Effect in Comprehending English words by Korean- English bilinguals and Americans

Kichun Nam, Yoonhyong Lee and Chang H. Lee Cerebral Activation Areas with Respect to Word and Sentence Production by Early and Late Korean-English Bilin-

guals: Event-Related fMRI Study Choong-Myung Kim, Donghoon Lee and Kichun Nam

The Balance between Excitation and Inhibition not only Leads to Variable Discharge of Cortical Neurons but also to Contrast Invariant Orientation Tuning

Akhil R. Garg, Basabi Bhaumik and Klaus Obermayer Stochastic Resonance Imaging - Stochastic Resonance Therapy: Preliminary Studies Considering

Brain as Stochastic Processor Prasun Kumar Roy

A Basilar Membrane Model Using Simulink for Hearing-Aid Systems Tetsuya Tsukada and Yoshifumi Sekine

IP-3: Image Processing Wednesday, November 24, 2004, 14:15-15:55

Content-Based Video Classification Using Support Vector Machines Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swamy andB. Yegnanarayana

Fast Half Pixel Motion Estimation Based on Spatio-Temporal Correlations

HyoSun Yoon and GueeSang Lee

Color Image Vector Quantization using Wavelet Transform and Enhanced Self-Organizing Neural Network Kwang Baek Kim and Dae Su Kim

Fuzzy Compactness Based Adaptive Window Approach for Image Matching in Stereo Vision

Gunjan and B. N. Chatterji

Abnormality Detection in Endoscopic Images Using Color Segmentation and Curvature Computation P.S. Hiremath, B.V. Dhandra, Ravindra Hegadi and G.G. Rajput

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Session 3.3

Biometrics -1: Biometrics (Face Recognition) Wednesday, November 24, 2004, 16:10-17:50

Fusion of Dimension Reduction Methods and Application to Face Recognition Byungjun Son, Sungsoo Yoon and Yillbyung Lee

A Hardware-Directed Face Recognition System Based on Local Eigen Analysis with PCNN C.H. Siva, Sai Prasanna, N. Sudha and V. Kamakoti

A Fast and Efficient Face Detection Technique Using Support Vector Machine R. Suguna, N. Sudha and C. Chandra Sekhar

Face Recognition Using SVM Combined with CNN for Face Detection Masakazu Matsugu, Katsuhiko Mori and Takashi Suzuki

Face Recognition Using Weighted Modular Principle Component Analysis A. Pavan Kumar, Sukhendu Das and V. Kamakoti

LA-4: Learning Algorithms

Wednesday, November 24, 2004, 16:10-17:50 One-Epoch Learning for Supervised Information-Theoretic Competitive Learning

Ryotaro Kamimura Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions

Ryotaro Kamimura Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model

M. Tanvir Islam and Yoichi Okabe Variational Information Maximization for Neural Coding

Felix Agakov and David Barber Comparison of TDLeaf(λ) and TD(λ) Learning in Game Playing Domain

Daniel Osman and Jacek Mandziuk

RB-1: Robotics Wednesday, November 24, 2004, 16:10-17:50

Towards the Unification of Human Movement, Animation and Humanoid in the Network Yasuo Matsuyama, Satoshi Yoshinaga, Hirofumi Okuda, Keisuke Fukumoto, Satoshi Nagatsuma, Kazuya Tanikawa,

Hiroto Hakui, Ryusuke Okuhara and Naoto Katsumata A Dual Neural Network for Bi-Criteria Torque Optimization of Redundant Robot Manipulators

Shubao Liu and Jun Wang A Genetic Approach to Optimizing the Values of Parameters in Reinforcement Learning for Navigation of a

Mobile Robot Keiji Kamei and Masumi Ishikawa

On the use of Learning Aids for Developmental Learning in a Humanoid Robot Artur M. Arsenio

Visual Servo Control for Intelligent Guided Vehicle J. K. Mukherjee

SVM-1: Support Vector Machine

Wednesday, November 24, 2004, 16:10-17:50 A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines

L. Hoegaerts, J.A.K. Suykens, J. Vandewalle and B. De Moor Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and Its Contingency

Kyung-shik Shin, Kyoung Jun Lee and Hyun-jung Kim Outliers Treatment in Support Vector Regression for Financial Time Series Prediction

Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King and Michael R. Lyu Kernel Based Clustering for Multiclass Data D. Srikrishna Satish and C. Chandra Sekhar

Combined Kernel Function for Support Vector Machine and Learning Method Based on Evolutionary Algorithm Ha-Nam Nguyen, Syng-Yup Ohn and Woo-Jin Choi

16

Session 4.1

EC-2: Evolutionary Computation Thursday, November 25, 2004, 10:30-12:10 Gray and Binary Encoding in the (1+1)-EA

Uday K. Chakraborty Closest Substring Problem --- Results from an Evolutionary Algorithm

Holger Mauch Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems

André V. Abs da Cruz, Carlos R. Hall Barbosa, Marco Aurélio C. Pacheco and Marley Vellasco A Partheno-genetic Algorithm for Combinatorial Optimization

Li Maojun, Fan Shaosheng and Luo an Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection

Sang-Jun Han, Kyung-Joong Kim and Sung-Bae Cho

LA-5: Learning Algorithms Thursday, November 25, 2004, 10:30-12:10

Rule Extraction by Seeing Through the Model Tuve Löfström, Ulf Johansson and Lars Niklasson

An Auxiliary Variational Method Felix V. Agakov and David Barber

Gaussian Process Regression with Fluid Hyperpriors Ramunas Girdziusas and Jorma Laaksonen

Learning Team Cooperation Ron Sun and Dehu Qi

Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization Wang Yan, Zhou Chun-Guang, Huang Yan-Xin and Feng Xiao-Yue

NeuroInfo-1: Neuroinformatics Thursday, November 25, 2004, 10:30-12:10

Korean Neuroinformatics Research Program: From the Second Phase to the Third Phase Soo-Young Lee

Chaotic Behavior in Neural Networks and FitzHugh-Nagumo Neuronal Model Deepak Mishra, Abhishek Yadav and Prem K. Kalra

Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore Lipo Wang

Deciphering the Genetic Blueprint of Cerebellar Development by the Gene Expression Profiling Informatics A. Sato, N. Morita, T. Sadakata, F. Yoshikawa, Y. Shiraishi-Yamaguchi, J.H. Hunag, S. Shoji, M. Tomomura, Y.

Sato, E. Suga, Y. Sekine, A. Kitamura, Y. Shibata and T. Furuichi A Guided Tour of Neuroinformatics Research in India

P. K. Roy and N. C. Singh

SVM-2: Support Vector Machine Thursday, November 25, 2004, 10:30-12:10

Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs Kristiaan Pelckmans, Johan A.K. Suykens and Bart De Moor

A Study for Excluding Incorrect Detections of Holter ECG Data Using SVM Yasushi Kikawa and Koji Oguri

Semi-Supervised Kernel-Based Fuzzy C-Means Daoqiang Zhang, Keren Tan and Songcan Chen

Use of Autocorrelation Kernels in Kernel Canonical Correlation Analysis for Texture Classification Yo Horikawa

Phoneme Transcription by a Support Vector Machine Anurag Sahajpal, Terje Kristensen and Gaurav Kumar

17

Session 4.2

LA-6: Learning Algorithms Thursday, November 25, 2004, 13:40-15:00

A Forward-propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm Yoshihiro Ohama, Naohiro Fukumura and Yoji Uno

Generalization in Learning Multiple Temporal Patterns Using RNNPB Masato Ito and Jun Tani

Structural Learning of Neural Network for Continuous Valued Output: Effect of Penalty Term to Hidden Units Basabi Chakraborty and Yusuke Manabe

Argumentation Neural Networks Artur d'Avila Garcez, Dov Gabbay and Luis C. Lamb

NFS-2: Neuro-Fuzzy Systems Thursday, November 25, 2004, 13:40-15:00

Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment Snjezana Soltic, Shaoning Pang, Nikola Kasabov, Sue Wornerand Lora Peackok

An Enhanced Fuzzy Multilayer Perceptron Kwang Baek Kim and Choong Shik Park

A Partitioning Method for Fuzzy Probabilistic Predictors Marcelo Andrade Teixeira, Gerson Zaverucha

Assessment of Reliability of Microarray Data using Fuzzy C-Means Classification Musa Alci and Musa H. Asyali

Biometrics -2: Biometrics Thursday, November 25, 2004, 13:40-15:00

Gender Classification of Face Images: The Role of Global and Feature-Based Information Samarasena Buchala, Neil Davey, Ray J. Frank, Tim M.Gale, Martin J. Loomes and Wanida Kanargard

The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment Hemant A. Patil and T. K. Basu

User Enrollment Using Multiple Snapshots of Fingerprint Younhee Gil, Dosung Ahn, Choonwoo Ryu, Sungbum Pan andYongwha Chung

Signature Verification using Static and Dynamic Features Mayank Vatsa, Richa Singh, P. Mitra and Afzel Noore

NNH-1: Neural Network Hardware Thursday, November 25, 2004, 13:40-15:00

Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks Hidehiro Nakano and Toshimichi Saito

A Spiking Oscillator with Quantized State and Its Pulse Coding Characteristics Hiroshi Hamanaka, Hiroyuki Torikai and Toshimichi Saito

Concurrent Support Vector Machine Processor for Disease Diagnosis Jae Woo Wee and Chong Ho Lee