Neural Information Processing 11th International Conference, ICONIP 2004 Calcutta, India, November 22–25, 2004 Proceedings

It is our great pleasure to welcome you to the 11th International Conference on Neural Information Processing (ICONIP 2004) to be held in Calcutta. ICONIP 2004 is organized jointly by the Indian Statistical Institute (ISI) and Jadavpur University (JU). We are con?dent that ICONIP 2004, like the previous conf- ences in this series,will providea forum for fruitful interactionandthe exchange of ideas between the participants coming from all parts of the globe. ICONIP 2004 covers all major facets of computational intelligence, but, of course, with a primary emphasis on neural networks. We are sure that this meeting will be enjoyable academically and otherwise. We are thankful to the track chairs and the reviewers for extending their support in various forms to make a sound technical program. Except for a few cases, where we could get only two review reports, each submitted paper was reviewed by at least three referees, and in some cases the revised versions were againcheckedbythereferees. Wehad470submissionsanditwasnotaneasytask for us to select papers for a four-day conference. Because of the limited duration of the conference, based on the review reports we selected only about 40% of the contributed papers. Consequently, it is possible that some good papers are left out. We again express our sincere thanks to all referees for accomplishing a great job. In addition to 186 contributed papers, the proceedings includes two plenary presentations, four invited talks and 18 papers in four special sessions. The proceedings is organized into 26 coherent topical groups.

Computational Neuroscience.- Neurobiological Foundation for the Meaning of Information.- Neural Information Processing Efforts to Restore Vision in the Blind.- Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons.- Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density.- Memory Modification Induced by Pattern Completion and STDP in Hippocampal CA3 Model.- Neural Mechanism of Binding ITD Information with IID One for Generating Brain Map of Sound Localization.- The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential.- A Model That Captures Receptive Field Properties of Orientation Selective Neurons in the Visual Cortex.- Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions.- The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning.- A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat.- Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model.- The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning.- Stochastic Resonance Imaging – Stochastic Resonance Therapy: Preliminary Studies Considering Brain as Stochastic Processor.- Complex-Valued Neural Networks.- Ultra-wideband Beamforming by Using a Complex-Valued Spatio-temporal Neural Network.- A Model of Hopfield-Type Quaternion Neural Networks and Its Energy Function.- Mode-Utilizing Developmental Learning Based on Coherent Neural Networks.- Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System.- Two Models for Theta Precession Generation Using the Complex Version of the Nagumo-Sato Neuron Model and the Hodgkin-Huxley Equations.- Self-organizing Maps.- Using Self-organizing Map in a Computerized Decision Support System.- An Empirical Study on the Robustness of SOM in Preserving Topology with Respect to Link Density.- Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick.- An Efficient Two-Level SOMART Document Clustering Through Dimensionality Reduction.- Color Image Vector Quantization Using Wavelet Transform and Enhanced Self-organizing Neural Network.- Using SOM-Based Data Binning to Support Supervised Variable Selection.- Evolutionary Computation.- Packing Bins Using Multi-chromosomal Genetic Representation and Better-Fit Heuristic.- Data Association for Multiple Target Tracking: An Optimization Approach.- Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-boolean Functions.- The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution.- Closest Substring Problem – Results from an Evolutionary Algorithm.- Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems.- Multiobjective Genetic Search for Spanning Tree Problem.- A Partheno-genetic Algorithm for Combinatorial Optimization.- Evaluation of Comprehensive Learning Particle Swarm Optimizer.- Evolutionary Learning Program’s Behavior in Neural Networks for Anomaly Detection.- Gray and Binary Encoding in the (1+1)-EA.- Control Systems.- Asymptotic Stability of Nonautonomous Delayed Neural Networks.- A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay.- Representation and Identification of Finite State Automata by Recurrent Neural Networks.- Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning.- State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks.- Cognitive Science.- A Connectionist Account of Ontological Boundary Shifting.- A Neural Network Model for Trace Conditioning.- Chunking Phenomenon in Complex Sequential Skill Learning in Humans.- Cognitive Process of Emotion Under Uncertainty.- The Locus of Word Length and Frequency Effect in Comprehending English Words by Korean-English Bilinguals and Americans.- Cerebral Activation Areas with Respect to Word and Sentence Production by Early and Late Korean-English Bilinguals: Event-Related fMRI Study.- Biometrics.- Fusion of Dimension Reduction Methods and Application to Face Recognition.- A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN.- The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment.- A Fast and Efficient Face Detection Technique Using Support Vector Machine.- User Enrollment Using Multiple Snapshots of Fingerprint.- Signature Verification Using Static and Dynamic Features.- Face Recognition Using SVM Combined with CNN for Face Detection.- Face Recognition Using Weighted Modular Principle Component Analysis.- Adaptive Intelligent Systems.- Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control.- In-vehicle Noise and Enhanced Speech Intelligibility.- An Evolving Neural Network Model for Person Verification Combining Speech and Image.- Adaptive Affine Subspace Self-organizing Map with Kernel Method.- Brain-Like Computing.- Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability.- Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic.- Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks.- Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks.- Knowledge Extraction from Artificial Associative Memory for Helping Senile Dementia Patients.- Learning Algorithms.- Some Experiments on Training Radial Basis Functions by Gradient Descent.- Predictive Approaches for Sparse Model Learning.- Multiple Instance Learning with Radial Basis Function Neural Networks.- Leverages Based Neural Networks Fusion.- A Process of Differentiation in the Assembly Neural Network.- Managing Interference Between Prior and Later Learning.- A Neural Learning Rule for CCA Approximation.- Adaptive Learning in Incremental Learning RBF Networks.- Recurrent Neural Networks for Learning Mixed k th -Order Markov Chains.- An Efficient Generalization of Battiti-Shanno’s Quasi-Newton Algorithm for Learning in MLP-Networks.- Incremental Learning and Dimension Selection Through Sleep.- The Most Robust Loss Function for Boosting.- An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks.- Density Boosting for Gaussian Mixtures.- Improving kNN Based Text Classification with Well Estimated Parameters.- One-Epoch Learning for Supervised Information-Theoretic Competitive Learning.- Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions.- Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model.- Variational Information Maximization for Neural Coding.- Comparison of TDLeaf(?) and TD(?) Learning in Game Playing Domain.- Rule Extraction by Seeing Through the Model.- An Auxiliary Variational Method.- Gaussian Process Regression with Fluid Hyperpriors.- Learning Team Cooperation.- Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.- A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm.- Generalization in Learning Multiple Temporal Patterns Using RNNPB.- Structural Learning of Neural Network for Continuous Valued Output: Effect of Penalty Term to Hidden Units.- Argumentation Neural Networks.- A Neighbor Generation Mechanism Optimizing Neural Networks.- Collaborative Agent Learning Using Neurocomputing.- Novel Neural Networks.- Cognitive Routing in Packet Networks.- TWRBF – Transductive RBF Neural Network with Weighted Data Normalization.- An Incremental Neural Network for Non-stationary Unsupervised Learning.- Computing Convex-Layers