Artificial Neural Networks — ICANN 2001: International Conference Vienna, Austria, August 21–25, 2001 Proceedings

The Complementary Brain (Abstract)....Pages 3-4
Neural Networks for Adaptive Processing of Structured Data....Pages 5-12
Bad Design and Good Performance: Strategies of the Visual System for Enhanced Scene Analysis....Pages 13-15
Fast Curvature Matrix-Vector Products....Pages 19-26
Architecture Selection in NLDA Networks....Pages 27-32
Neural Learning Invariant to Network Size Changes....Pages 33-40
Boosting Mixture Models for Semi-supervised Learning....Pages 41-48
Bagging Can Stabilize without Reducing Variance....Pages 49-56
Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context Length....Pages 57-64
Discriminative Dimensionality Reduction Based on Generalized LVQ....Pages 65-72
A Computational Intelligence Approach to Optimization with Unknown Objective Functions....Pages 73-80
Clustering Gene Expression Data by Mutual Information with Gene Function....Pages 81-87
Learning to Learn Using Gradient Descent....Pages 87-94
A Variational Approach to Robust Regression....Pages 95-102
Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo....Pages 103-110
Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering....Pages 111-118
Direct Estimation of Polynomial Densities in Generalized RBF Networks Using Moments....Pages 119-126
Generalisation Improvement of Radial Basis Function Networks Based on Qualitative Input Conditioning for Financial Credit Risk Prediction....Pages 127-134
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information....Pages 135-140
The Bias-Variance Dilemma of the Monte Carlo Method....Pages 141-147
A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator Equations....Pages 148-155
Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster....Pages 156-163
Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern Microprocessors....Pages 164-169
A Game-Theoretic Adaptive Categorization Mechanism for ART-Type Networks....Pages 170-176
Gaussian Radial Basis Functions and Inner-Product Spaces....Pages 177-182
Mixture of Probabilistic Factor Analysis Model and Its Applications....Pages 183-188
Deferring the Learning for Better Generalization in Radial Basis Neural Networks....Pages 189-195
Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function....Pages 196-202
Independent Variable Group Analysis....Pages 203-210
Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing....Pages 211-216
Voting-Merging: An Ensemble Method for Clustering....Pages 217-224
The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks....Pages 225-230
Transductive Learning: Learning Iris Data with Two Labeled Data....Pages 231-236
Approximation of Time-Varying Functions with Local Regression Models....Pages 237-243
Complexity of Learning for Networks of Spiking Neurons with Nonlinear Synaptic Interactions....Pages 247-252
Product Unit Neural Networks with Constant Depth and Superlinear VC Dimension....Pages 253-258
Generalization Performances of Perceptrons....Pages 259-264
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms....Pages 265-271
Learning Curves for Gaussian Processes Models: Fluctuations and Universality....Pages 271-276
Tight Bounds on Rates of Neural-Network Approximation....Pages 277-282
Scalable Kernel Systems....Pages 285-291
On-Line Learning Methods for Gaussian Processes....Pages 292-299
Online Approximations for Wind-Field Models....Pages 300-307
Fast Training of Support Vector Machines by Extracting Boundary Data....Pages 308-313
Multiclass Classification with Pairwise Coupled Neural Networks or Support Vector Machines....Pages 314-321
Incremental Support Vector Machine Learning: A Local Approach....Pages 322-330
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers....Pages 331-338
Sparse Kernel Regressors....Pages 339-346
Learning on Graphs in the Game of Go....Pages 347-352
Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis....Pages 353-360
Gaussian Process Approach to Stochastic Spiking Neurons with Reset....Pages 361-368
Kernel Based Image Classification....Pages 369-375
Gaussian Processes for Model Fusion....Pages 376-383
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines....Pages 384-389
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines....Pages 390-398
Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines....Pages 399-404
Linear Dependency between ε and the Input Noise in ε -Support Vector Regression....Pages 405-410
The Bayesian Committee Support Vector Machine....Pages 411-417
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds....Pages 421-428
Self Organizing Map and Sammon Mapping for Asymmetric Proximities....Pages 429-435
Active Learning with Adaptive Grids....Pages 436-442
Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions....Pages 443-449
A Soft k -Segments Algorithm for Principal Curves....Pages 450-456
Product Positioning Using Principles from the Self-Organizing Map....Pages 457-463
Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data....Pages 464-469
Histogram Based Color Reduction through Self-Organized Neural Networks....Pages 470-476
Sequential Learning for SOM Associative Memory with Map Reconstruction....Pages 477-484
Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study....Pages 485-491
A Topological Hierarchical Clustering: Application to Ocean Color Classification....Pages 492-499
Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing Map....Pages 500-505
Blind Source Separation of Single Components from Linear Mixtures....Pages 509-514
Blind Source Separation Using Principal Component Neural Networks....Pages 515-520
Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton’s Method....Pages 521-526
Mixtures of Independent Component Analysers....Pages 527-534
Conditionally Independent Component Extraction for Naive Bayes Inference....Pages 535-540
Fast Score Function Estimation with Application in ICA....Pages 541-546
Health Monitoring with Learning Methods....Pages 547-553
Breast Tissue Classification in Mammograms Using ICA Mixture Models....Pages 554-560
Neural Network Based Blind Source Separation of Non-linear Mixtures....Pages 561-567
Feature Extraction Using ICA....Pages 568-573
Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model....Pages 577-582
Faster Convergence and Improved Performance in Least-Squares Training of Neural Networks for Active Sound Cancellation....Pages 583-592
Bayesian Independent Component Analysis as Applied to One-Channel Speech Enhancement....Pages 593-600
Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks....Pages 601-608
Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component....Pages 609-616
A Probabilistic Approach to High-Resolution Sleep Analysis....Pages 617-624
Comparison of Wavelet Thresholding Methods for Denoising ECG Signals....Pages 625-629
Evoked Potential Signal Estimation Using Gaussian Radial Basis Function Network....Pages 630-635
‘Virtual Keyboard’ Controlled by Spontaneous EEG Activity....Pages 636-641
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps....Pages 642-649
Nonlinear Signal Processing for Noise Reduction of Unaveraged Single Channel MEG Data....Pages 650-657
A Discrete Probabilistic Memory Model for Discovering Dependencies in Time....Pages 661-668
Applying LSTM to Time Series Predictable through Time-Window Approaches....Pages 669-676
Generalized Relevance LVQ for Time Series....Pages 677-683
Unsupervised Learning in LSTM Recurrent Neural Networks....Pages 684-691
Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances....Pages 692-698
Neural Networks in Circuit Simulators....Pages 699-705
Neural Networks Ensemble for Cyclosporine Concentration Monitoring....Pages 706-711
Efficient Hybrid Neural Network for Chaotic Time Series Prediction....Pages 712-718
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks....Pages 719-724
Prediction Systems Based on FIR BP Neural Networks....Pages 725-730
On the Generalization Ability of Recurrent Networks....Pages 731-736
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner....Pages 737-742
Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural Networks....Pages 743-748
Fusion Architectures for the Classification of Time Series....Pages 749-755
The Importance of Representing Cognitive Processes in Multi-agent Models....Pages 759-766
Multi-agent FX-Market Modeling Based on Cognitive Systems....Pages 767-774
Speculative Dynamics in a Heterogeneous-Agent Model....Pages 775-781
Nonlinear Adaptive Beliefs and the Dynamics of Financial Markets: The Role of the Evolutionary Fitness Measure....Pages 782-789
Analyzing Purchase Data by a Neural Net Extension of the Multinomial Logit Model....Pages 790-795
Using Maximal Recurrence in Linear Threshold Competitive Layer Networks....Pages 799-805
Exponential Transients in Continuous-Time Symmetric Hopfield Nets....Pages 806-814
Initial Evolution Results on CAM-Brain Machines (CBMs)....Pages 814-819
Self-Organizing Topology Evolution of Turing Neural Networks....Pages 820-826
Efficient Pattern Discrimination with Inhibitory WTA Nets....Pages 827-834
Cooperative Information Control to Coordinate Competition and Cooperation....Pages 835-842
Qualitative Analysis of Continuous Complex-Valued Associative Memories....Pages 843-851
Self Organized Partitioning of Chaotic Attractors for Control....Pages 851-856
A Generalisable Measure of Self-Organisation and Emergence....Pages 857-864
Market-Based Reinforcement Learning in Partially Observable Worlds....Pages 865-873
Sequential Strategy for Learning Multi-stage Multi-agent Collaborative Games....Pages 874-881
Neural Architecture for Mental Imaging of Sequences Based on Optical Flow Predictions....Pages 885-890
Visual Checking of Grasping Positions of a Three-Fingered Robot Hand....Pages 891-898
Anticipation-Based Control Architecture for a Mobile Robot....Pages 899-905
Neural Adaptive Force Control for Compliant Robots....Pages 906-913
A Design of Neural-Net Based Self-Tuning PID Controllers....Pages 914-921
Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network....Pages 922-929
Adaptive Neural Control of Nonlinear Systems....Pages 930-936
A Hierarchical Method for Training Embedded Sigmoidal Neural Networks....Pages 937-942
Towards Learning Path Planning for Solving Complex Robot Tasks....Pages 943-950
Hammerstein Model Identification Using Radial Basis Functions Neural Networks....Pages 951-956
Evolving Neural Behaviour Control for Autonomous Robots....Pages 957-962
Construction by Autonomous Agents in a Simulated Environment....Pages 963-970
A Neural Control Model Using Predictive Adjustment Mechanism of Viscoelastic Property of the Human Arm....Pages 971-976
Multi-joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson Equation....Pages 977-984
Neocognitron of a New Version: Handwritten Digit Recognition....Pages 987-992
A Comparison of Classifiers for Real-Time Eye Detection....Pages 993-999
Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography....Pages 1000-1005
A New Adaptive Color Quantization Technique....Pages 1006-1012
Tunable Oscillatory Network for Visual Image Segmentation....Pages 1013-1019
Detecting Shot Transitions for Video Indexing with FAM....Pages 1020-1025
Finding Faces in Cluttered Still Images with Few Examples....Pages 1026-1033
Description of Dynamic Structured Scenes by a SOM/ARSOM Hierarchy....Pages 1034-1041
Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map....Pages 1042-1047
Video Sequence Boundary Detection Using Neural Gas Networks....Pages 1048-1053
A Neural-Network-Based Approach to Adaptive Human Computer Interaction....Pages 1054-1059
Adaptable Neural Networks for Unsupervised Video Object Segmentation of Stereoscopic Sequences....Pages 1060-1066
A Model of Border-Ownership Coding in Early Vision....Pages 1069-1074
Extracting Slow Subspaces from Natural Videos Leads to Complex Cells....Pages 1075-1080
Neural Coding of Dynamic Stimuli....Pages 1081-1086
Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model....Pages 1087-1094
Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons....Pages 1095-1102
Using Depressing Synapses for Phase Locked Auditory Onset Detection....Pages 1103-1108
Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs....Pages 1109-1114
Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning....Pages 1115-1120
A Mathematical Analysis of a Correlation Based Model for the Orientation Map Formation....Pages 1121-1128
Learning from Chaos: A Model of Dynamical Perception....Pages 1129-1134
Episodic Memory and Cognitive Map in a Rate Model Network of the Rat Hippocampus....Pages 1135-1140
A Model of Horizontal 360° Object Localization Based on Binaural Hearing and Monocular Vision....Pages 1141-1146
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex....Pages 1147-1152
Markov Chain Model Approximating the Hodgkin-Huxley Neuron....Pages 1153-1160
A Neural Oscillator Model of Auditory Attention....Pages 1163-1170
Coupled Neural Maps for the Origins of Vowel Systems....Pages 1171-1176
Learning for Text Summarization Using Labeled and Unlabeled Sentences....Pages 1177-1184
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks....Pages 1185-1192
Instance-Based Method to Extract Rules from Neural Networks....Pages 1193-1198
A Novel Binary Spell Checker....Pages 1199-1204
Neural Nets for Short Movements in Natural Language Processing....Pages 1205-1210
Using Document Features to Optimize Web Cache....Pages 1211-1216
Generation of Diversiform Characters Using a Computational Handwriting Model and a Genetic Algorithm....Pages 1217-1224
Information Maximization and Language Acquisition....Pages 1225-1232
A Mirror Neuron System for Syntax Acquisition....Pages 1233-1238
A Network of Relaxation Oscillators that Finds Downbeats in Rhythms....Pages 1239-1247
Knowledge Incorporation and Rule Extraction in Neural Networks....Pages 1248-1253