Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003: Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings


The refereed proceedings of the Joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.
The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech ...
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The refereed proceedings of the Joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.
The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.
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Product Details

Table of Contents

Adaptive Hopfield Network 3
Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks 11
Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing 19
Independent Component Analysis Minimizing Convex Divergence 27
Selecting Salient Features for Classification Committees 35
Fast and Efficient Training of RBF Networks 43
Loading Temporal Associative Memory Using the Neuronic Equation 52
Learning Compatibility Functions for Feature Binding and Perceptual Grouping 60
Differential ICA 68
A Comparison of Model Aggregation Methods for Regression 76
Linear Least-Squares Based Methods for Neural Networks Learning 84
Optimal Hebbian Learning: A Probabilistic Point of View 92
Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning 99
Approximate Learning in Temporal Hidden Hopfield Models 107
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier 115
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning 123
Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA 132
Selective Sampling Methods in One-Class Classification Problems 140
Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding 149
Meta-learning for Fast Incremental Learning 157
Expectation-MiniMax Approach to Clustering Analysis 165
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks 173
Confidence Estimation Using the Incremental Learning Algorithm, Learn++ 181
Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization 189
Generalization Error Analysis for Polynomial Kernel Methods Algebraic Geometrical Approach 201
Regularized Kriging: The Support Vectors Method Applied to Kriging 209
Support Vector Machine Classifiers for Asymmetric Proximities 217
Fuzzy Model Identification Using Support Vector Clustering Method 225
Human Splice Site Identification with Multiclass Support Vector Machines and Bagging 234
Optimizing Property Codes in Protein Data Reveals Structural Characteristics 245
Multicategory Bayesian Decision Using a Three-Layer Neural Network 253
Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis 262
Prior Hyperparameters in Bayesian PCA 271
Relevance and Kernel Self-Organising Maps 280
Hierarchical Bayesian Network for Handwritten Digit Recognition 291
A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems 299
Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application 307
Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers 316
Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory 325
Supervised Locally Linear Embedding 333
Feature Extraction for One-Class Classification 342
Auto-adaptive and Dynamical Clustering Neural Network 350
Transformations of Symbolic Data for Continuous Data Oriented Models 359
Comparing Fuzzy Data Sets by Means of Graph Matching Technique 367
How to Do Multi-way Classification with Two-Way Classifiers 375
Sparse Coding with Invariance Constraints 385
Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths 393
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings 401
Short-Term Memory Optical Flow Image 409
A Hybrid MLP-PNN Architecture for Fast Image Superresolution 417
Recognition of Gestural Object Reference with Auditory Feedback 425
Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen Algorithm 433
Client Dependent GMM-SVM Models for Speaker Verification 443
Frequency and Wavelet Filtering for Robust Speech Recognition 452
Unsupervised Learning of a Kinematic Arm Model 463
A Design of CMAC Based Intelligent PID Controllers 471
Learning to Control at Multiple Time Scales 479
The Evolution of Modular Artificial Neural Networks for Legged Robot Control 488
Dimensionality Reduction through Sensory-Motor Coordination 496
Learning Localisation Based on Landmarks Using Self-Organisation 504
Spatial Independent Component Analysis of Multitask-Related Activation in fMRI Data 515
Closed Loop Stability of FIR-Recurrent Neural Networks 523
Selective Noise Cancellation Using Independent Component Analysis 530
Expert Mixture Methods for Adaptive Channel Equalization 538
A Relaxation Algorithm Influenced by Self-Organizing Maps 546
A Gradient Network for Vector Quantization and Its Image Compression Applications 554
Multi-scale Switching Linear Dynamical Systems 562
Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models 573
A Hybrid Neural Architecture and Its Application to Temperature Prediction 581
Risk Management Application of the Recurrent Mixture Density Network Models 589
Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling 597
A Simple Constructing Approach to Build P2P Global Computing Overlay Network 607
Option Pricing with the Product Constrained Hybrid Neural Network 615
Self-Organizing Operator Maps in Complex System Analysis 622
Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic Algorithms 630
Adaptive Stochastic Classifier for Noisy pH-ISFET Measurements 638
Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances 646
Selecting and Ranking Time Series Models Using the NOEMON Approach 654
Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach 662
Inversion of a Neural Network via Interval Arithmetic for Rule Extraction 670
Implementation of Visual Attention System Using Bottom-up Saliency Map Model 678
A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification 686
Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data 695
Protein Sequence Classification Using Probabilistic Motifs and Neural Networks 702
On a Dynamic Wavelet Network and Its Modeling Application 710
Low Power Digital Neuron for SOM Implementations 721
Direction Selective Two-Dimensional Analog Circuits Using Biomedical Vision Model 729
Review of Capacitive Threshold Gate Implementations 737
Constructive Threshold Logic Addition (A Synopsis of the Last Decade) 745
CrossNets: Neuromorphic Networks for Nanoelectronic Implementation 753
The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist Model 763
A Neural Model of Binding and Capacity in Visual Working Memory 771
Neural Network: Input Anticipation May Lead to Advanced Adaptation Properties 779
Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning Behavior- 786
The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia 797
Optimal Coding for Naturally Occurring Whisker Deflections 805
Object Localisation Using Laterally Connected "What" and "Where" Associator Networks 813
Influence of Membrane Warp on Pulse Propagation Time 821
Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism 830
Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network 839
The Spike Response Model: A Framework to Predict Neuronal Spike Trains 846
Roles of Motion and Form in Biological Motion Recognition 854
Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of High-Dimensional Data 867
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