Kaynak O., Alpaydin E., Oja E., Xu L. (Eds.) Artificial Neural Networks and Neural Information Processing, ICANN/ICONIP 2003

Springer, 2003. — 1209 p.Joint International Conference ICANN/ICONIP 2003. Istanbul, Turkey, June 26-29, 2003 Proceedings.
This book constitutes a collection of papers presented at the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, from June 26–29, 2003 in Istanbul, Turkey. The conference was organized by Bo˘gazi，ci University, Istanbul in cooperation with the Soft Computational Intelligence Society, Turkey. The ICANN conferences were initiated in 1991 and have become the major European meeting in the field of neural networks. Similarly, the ICONIP conferences were initiated in 1994 and have become the major Asian meeting in the field. This conference was the first one combining the two. Being held in Istanbul, Turkey, it bridged the two continents and brought together the researchers from them in a joint meeting.Learning Algorithms
Adaptive Hopfield Network
Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks
Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing
Independent Component Analysis Minimizing Convex Divergence
Selecting Salient Features for Classification Committees
Fast and Efficient Training of RBF Networks
Loading Temporal Associative Memory Using the Neuronic Equation
Learning Compatibility Functions for Feature Binding and Perceptual Grouping
Differential ICA
A Comparison of Model Aggregation Methods for Regression
Linear Least-Squares Based Methods for Neural Networks Learning
Optimal Hebbian Learning: A Probabilistic Point of View
Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning
Approximate Learning in Temporal Hidden Hopfield Models
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning
Dimension Reduction Based on Orthogonality – A Decorrelation Method in ICA
Selective Sampling Methods in One-Class Classification Problems
Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding Meta-learning for Fast Incremental
Learning
Expectation-MiniMax Approach to Clustering Analysis
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization
SVM and Kernel Methods
Generalization Error Analysis for Polynomial Kernel Methods – Algebraic Geometrical Approach
Regularized Kriging: The Support Vectors Method Applied to Kriging
Support Vector Machine Classifiers for Asymmetric Proximities
Fuzzy Model Identification Using Support Vector Clustering Method
Human Splice Site Identification with Multiclass Support Vector Machines and Bagging
Statistical Data Analysis
Optimizing Property Codes in Protein Data Reveals Structural Characteristics
Multicategory Bayesian Decision Using a Three-Layer Neural Network
Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis
Prior Hyperparameters in Bayesian PCA
Relevance and Kernel Self-Organising Maps
Pattern Recognition
Hierarchical Bayesian Network for Handwritten Digit Recognition
A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems
Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application
Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers
Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory
Supervised Locally Linear Embedding
Feature Extraction for One-Class Classification
Auto-adaptive and Dynamical Clustering Neural Network
Transformations of Symbolic Data for Continuous Data Oriented Models
Comparing Fuzzy Data Sets by Means of Graph Matching Technique
How to Do Multi-way Classification with Two-Way Classifiers
Vision
Sparse Coding with Invariance Constraints
Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings
Short-Term Memory Optical Flow Image
A Hybrid MLP-PNN Architecture for Fast Image Superresolution
Recognition of Gestural Object Reference with Auditory Feedback
Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen Algorithm
Speech Recognition
Client Dependent GMM-SVM Models for Speaker Verification
Frequency and Wavelet Filtering for Robust Speech Recognition
Robotics and Control
Unsupervised Learning of a Kinematic Arm Model
A Design of CMAC Based Intelligent PID Controllers
Learning to Control at Multiple Time Scales
The Evolution of Modular Artificial Neural Networks for Legged Robot Control
Dimensionality Reduction through Sensory-Motor Coordination
Learning Localisation Based on Landmarks Using Self-Organisation
Signal Processing
Spatial Independent Component Analysis of Multitask-Related Activation in fMRI Data
Closed Loop Stability of FIR-Recurrent Neural Networks
Selective Noise Cancellation Using Independent Component Analysis
Expert Mixture Methods for Adaptive Channel Equalization
A Relaxation Algorithm Influenced by Self-Organizing Maps
A Gradient Network for Vector Quantization and Its Image Compression Applications
Multi-scale Switching Linear Dynamical Systems
Time-Series Prediction
Model Selection with Cross-Validations and Bootstraps – Application to Time Series Prediction with RBFN Models
A Hybrid Neural Architecture and Its Application to Temperature Prediction
Risk Management Application of the Recurrent Mixture Density Network Models
Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling
Intelligent and Hybrid Systems
A Simple Constructing Approach to Build P2P Global Computing Overlay Network
Option Pricing with the Product Constrained Hybrid Neural Network
Self-Organizing Operator Maps in Complex System Analysis
Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic
Adaptive Stochastic Classifier for Noisy pH-ISFET Measurements
Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances
Selecting and Ranking Time Series Models Using the NOEMON Approach
Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach
Inversion of a Neural Network via Interval Arithmetic for Rule Extraction
Implementation of Visual Attention System Using Bottom-up Saliency Map Model
A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification
Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data
Protein Sequence Classification Using Probabilistic Motifs and Neural Networks
On a Dynamic Wavelet Network and Its Modeling Application
Neural Network Hardware
Low Power Digital Neuron for SOM Implementations
Direction Selective Two-Dimensional Analog Circuits Using Biomedical Vision Model
Review of Capacitive Threshold Gate Implementations
Constructive Threshold Logic Addition (A Synopsis of the Last Decade)
CrossNets: Neuromorphic Networks for Nanoelectronic Implementation
Cognitive Science
The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist Model
A Neural Model of Binding and Capacity in Visual Working Memory
Neural Network: Input Anticipation May Lead to Advanced Adaptation Properties
Acceleration of Game Learning with Prediction-Based Reinforcement Learning – Toward the Emergence of Planning Behavior –
Computational Neuroscience
The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia
Optimal Coding for Naturally Occurring Whisker Deflections
Object Localisation Using Laterally Connected “What” and “Where” Associator Networks
Influence of Membrane Warp on Pulse Propagation Time
Detailed Learning in Narrow Fields – Towards a Neural Network Model of Autism
Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
Roles of Motion and Form in Biological Motion Recognition
Special Sessions
Semantic and Context Aware Intelligent Systems
Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of High-Dimensional Data
Learning Rule Representations from Boolean Data
Weighted Self-Organizing Maps: Incorporating User Feedback
Classification and Tracking of Hypermedia Navigation Patterns
Self-Aware Networks and Quality of Service
Drawing Attention to the Dangerous
ASK – Acquisition of Semantic Knowledge
An Adaptable Gaussian Neuro-Fuzzy Classifier
Knowledge Refinement Using Fuzzy Compositional Neural Networks
Complex-Valued Neural Networks: Theories and Applications
Phase Singular Points Reduction by a Layered Complex-Valued Neural Network in Combination with Constructive Fourier Synthesis
Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network
Adaptive Beamforming by Using Complex-Valued Multi Layer Perceptron
A Complex-Valued Spiking Machine
The Behavior of the Network Consisting of Two Complex-Valued Nagumo-Sato Neurons
On Activation Functions for Complex-Valued Neural Networks – Existence of Energy Functions –
The Computational Power of Complex-Valued Neuron
Computational Intelligence and Applications
Recommendation Models for User Accesses to Web Pages
A Spectral-Spatial Classification Algorithm for Multispectral Remote Sensing Data
Neural Network Based Material Identification and Part Thickness Estimation from Two Radiographic Images
Selection of Optimal Cutting Conditions by Using the Genetically Optimized Neural Network System (GONNS)
Building RBF Neural Network Topology through Potential Functions
Use of Magnetomyographic (MMG) Signals to Calculate the Dependency Properties of the Active Sensors in Myometrial Activity Monitoring
Speed Enhancement with Soft Computing Hardware
Neural Networks Applied to Electromagnetic Compatibility (EMC) Simulations
Sliding Mode Algorithm for Online Learning in Analog Multilayer Feedforward Neural Networks
Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques
Predicting Bad Credit Risk: An Evolutionary Approach
Indirect Differentiation of Function for a Network of Biologically Plausible Neurons
Application of Vision Models to Traffic Sign Recognition
Emotion Recognition
An Intelligent Scheme for Facial Expression Recognition
Signal Enhancement for Continuous Speech Recognition
Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis
An Emotional Recognition Architecture Based on Human Brain Structure
Neural Networks for Bio-informatics Applications
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
Feature Analysis and Classification of Protein Secondary Structure Data
Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture
Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature Gating
Some New Features for Protein Fold Prediction