Artificial Neural Networks _ Icann 2002: International Conference, Madrid, Spain, August 28-30, 2002. Proceedings (lecture Notes In Computer Science)

The International Conferences on Arti?cial Neural Networks, ICANN, have been held annually since 1991 and over the years have become the major European meeting in neural networks. This proceedings volume contains all the papers presented at ICANN 2002, the 12th ICANN conference, held in August 28– 30, 2002 at the Escuela T ́ecnica Superior de Inform ́atica of the Universidad Aut ́onoma de Madrid and organized by its Neural Networks group. ICANN 2002 received a very high number of contributions, more than 450. Almost all papers were revised by three independent reviewers, selected among the more than 240 serving at this year’s ICANN, and 221 papers were ?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference. Front Matter....Pages 1-1 A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data....Pages 3-8 A Neural Model of Spatio Temporal Coordination in Prehension....Pages 9-14 Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback....Pages 15-20 Learning Multiple Feature Representations from Natural Image Sequences....Pages 21-26 Analysis of Biologically Inspired Small-World Networks....Pages 27-32 Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video....Pages 33-38 Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks....Pages 39-44 Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse....Pages 45-50 Storage Capacity of Kernel Associative Memories....Pages 51-56 Macrocolumns as Decision Units....Pages 57-62 Nonlinear Analysis of Simple Cell Tuning in Visual Cortex....Pages 63-68 Clustering within Integrate-and-Fire Neurons for Image Segmentation....Pages 69-74 Symmetry Detection Using Global-Locally Coupled Maps....Pages 75-80 Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties....Pages 81-86 Combining Multimodal Sensory Input for Spatial Learning....Pages 87-92 A Neural Network Model Generating Invariance for Visual Distance....Pages 93-98 Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG....Pages 99-104 Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques....Pages 105-110 Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays....Pages 111-116 Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons....Pages 117-122 Front Matter....Pages 1-1 Reducing Communication for Distributed Learning in Neural Networks....Pages 123-128 Flow Diagrams of the Quadratic Neural Network....Pages 129-134 Dynamics of a Plastic Cortical Network....Pages 135-140 Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron....Pages 141-146 Small-World Effects in Lattice Stochastic Diffusion Search....Pages 147-152 A Direction Sensitive Network Based on a Biophysical Neurone Model....Pages 153-159 Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis....Pages 160-166 Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis....Pages 167-173 Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory....Pages 174-179 Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations....Pages 180-185 Does Morphology Influence Temporal Plasticity?....Pages 186-191 Attractor Neural Networks with Hypercolumns....Pages 192-197 Edge Detection and Motion Discrimination in the Cuneate Nucleus....Pages 198-203 Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks....Pages 204-209 Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons....Pages 210-215 A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform....Pages 216-222 Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input....Pages 223-228 Iterative Population Decoding Based on Prior Beliefs....Pages 229-234 When NMDA Receptor Conductances Increase Inter- spike Interval Variability....Pages 235-240 Spike- Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity....Pages 241-247 Front Matter....Pages 1-1 A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy....Pages 248-253 On the Computational Power of Neural Microcircuit Models: Pointers to the Literature....Pages 254-256 Front Matter....Pages 258-258 Networking with Cognitive Packets....Pages 259-264 Episodic Memory: A Connectionist Interpretation....Pages 265-270 Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach....Pages 271-276 Associative Arithmetic with Boltzmann Machines: The Role of Number Representations....Pages 277-283 Learning the Long-Term Structure of the Blues....Pages 284-289 Recursive Neural Networks Applied to Discourse Representation Theory....Pages 290-295 Recurrent Neural Learning for Helpdesk Call Routing....Pages 296-301 An Approach to Encode Multilayer Perceptrons....Pages 302-307 Dynamic Knowledge Representation in Connectionist Systems....Pages 308-313 Generative Capacities of Cellular Automata Codification for Evolution of NN Codification....Pages 314-319 Front Matter....Pages 320-320 Entropic Measures with Radial Basis Units....Pages 323-328 New Methods for Splice Site Recognition....Pages 329-336 A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks....Pages 337-343 Identification of Wiener Model Using Radial Basis Functions Neural Networks....Pages 344-350 A New Learning Algorithm for Mean Field Boltzmann Machines....Pages 351-357 A Continuous Restricted Boltzmann Machine with a Hardware- Amenable Learning Algorithm....Pages 358-363 Human Recognition by Gait Analysis Using Neural Networks....Pages 364-369 Learning Vector Quantization for Multimodal Data....Pages 370-376 Front Matter....Pages 320-320 Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities....Pages 377-382 Model Clustering for Neural Network Ensembles....Pages 383-388 Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?....Pages 389-394 Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network....Pages 395-400 A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data....Pages 401-407 Neural Minimax Classifiers....Pages 408-413 Sampling Parameters to Estimate a Mixture Distribution with Unknown Size....Pages 414-419 Selecting Neural Networks for Making a Committee Decision....Pages 420-425 High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning....Pages 426-431 Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling....Pages 432-437 A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-fuzzy System for Online Handwriting Recognition....Pages 438-443 A New Learning Method for Piecewise Linear Regression....Pages 444-449 Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems....Pages 450-455 Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems....Pages 456-461 Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network....Pages 462-467 MDL Based Model Selection for Relevance Vector Regression....Pages 468-473 On the Training of a Kolmogorov Network....Pages 474-479 A New Method of Feature Extraction and Its Stability....Pages 480-485 Visualization and Analysis of Web Navigation Data....Pages 486-491 Missing Value Estimation Using Mixture of PCAs....Pages 492-497 Front Matter....Pages 320-320 High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas....Pages 498-503 Heterogeneous Forests of Decision Trees....Pages 504-509 Independent Component Analysis for Domain Independent Watermarking....Pages 510-515 Applying Machine Learning to Solve an Estimation Problem in Software Inspections....Pages 516-521 Clustering of Gene Expression Data by Mixture of PCA Models....Pages 522-527 Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces....Pages 528-534 A New Sequential Algorithm for Regression Problems by Using Mixture Distribution....Pages 535-540 Neural-Based Classification of Blocks from Documents....Pages 541-546 Feature Selection via Genetic Optimization....Pages 547-552 Neural Networks, Clustering Techniques, and Function Approximation Problems....Pages 553-558 Evolutionary Training of Neuro-fuzzy Patches for Function Approximation....Pages 559-564 Using Recurrent Neural Networks for Automatic Chromosome Classification....Pages 565-570 A Mixed Ensemble Approach for the Semi-supervised Problem....Pages 571-576 Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes....Pages 577-582 Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error....Pages 583-588 SSA, SVD, QR-cp, and RBF Model Reduction....Pages 589-594 Linkage Analysis: A Bayesian Approach....Pages 595-600 On Linear Separability of Sequences and Structures....Pages 601-606 Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data....Pages 607-612 EM-Based Radial Basis Function Training with Partial Information....Pages 613-618 Front Matter....Pages 320-320 Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters....Pages 619-624 Input and Output Feature Selection....Pages 625-630 Optimal Extraction of Hidden Causes....Pages 631-636 Towards a New Information Processing Measure for Neural Computation....Pages 637-642 A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System....Pages 643-648 Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit....Pages 649-654 Learning Context Sensitive Languages with LSTM Trained with Kalman Filters....Pages 655-660 Hierarchical Model Selection for NGnet Based on Variational Bayes Inference....Pages 661-666 Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach....Pages 667-672 Natural Gradient and Multiclass NLDA Networks....Pages 673-678 Front Matter....Pages 680-680 A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines....Pages 681-686 Selection of Meta-parameters for Support Vector Regression....Pages 687-693 Kernel Matrix Completion by Semidefinite Programming....Pages 694-699 Incremental Sparse Kernel Machine....Pages 700-706 Frame Kernels for Learning....Pages 707-712 Robust Cross-Validation Score Function for Non-linear Function Estimation....Pages 713-719 Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models....Pages 720-726 The Leave-One-Out Kernel....Pages 727-732 Support Vector Representation of Multi-categorical Data....Pages 733-738 Robust De-noising by Kernel PCA....Pages 739-744 Front Matter....Pages 680-680 Maximum Contrast Classifiers....Pages 745-750 Puncturing Multi-class Support Vector Machines....Pages 751-756 Multi-dimensional Function Approximation and Regression Estimation....Pages 757-762 Detecting the Number of Clusters Using a Support Vector Machine Approach....Pages 763-768 Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling....Pages 769-774 Front Matter....Pages 75-75 Reinforcement Learning for Biped Locomotion....Pages 777-782 Dynamical Neural Schmitt Trigger for Robot Control....Pages 783-788 Evolutionary Artificial Neural Networks for Quadruped Locomotion....Pages 789-794 Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance....Pages 795-800 A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems....Pages 801-806 Tool Wear Prediction in Milling Using Neural Networks....Pages 807-812 Speeding-up Reinforcement Learning with Multi-step Actions....Pages 813-818 Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification....Pages 819-824 Integration of Metric Place Relations in a Landmark Graph....Pages 825-830 Hierarchical Object Classification for Autonomous Mobile Robots....Pages 831-836 Self Pruning Gaussian Synapse Networks for Behavior Based Robots....Pages 837-843 Second-Order Conditioning in Mobile Robots....Pages 844-849 An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers....Pages 850-855 Learning Inverse Kinematics via Cross-Point Function Decomposition....Pages 856-861 Front Matter....Pages 863-863 The Principal Components Analysis Self-Organizing Map....Pages 865-870 Front Matter....Pages 863-863 Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps....Pages 871-876 Rule Extraction from Self-Organizing Networks....Pages 877-883 Predictive Self-Organizing Map for Vector Quantization of Migratory Signals....Pages 884-889 Categorical Topological Map....Pages 890-895 Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites....Pages 896-901 Parametrized SOMs for Object Recognition and Pose Estimation....Pages 902-907 An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map....Pages 908-913 Coordinating Principal Component Analyzers....Pages 914-919 Lateral Interactions in Self-Organizing Maps....Pages 920-926 Complexity Selection of the Self-Organizing Map....Pages 927-932 Nonlinear Projection with the Isotop Method....Pages 933-938 Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map....Pages 939-944 Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks....Pages 945-950 Distance Matrix Based Clustering of the Self-Organizing Map....Pages 951-956 Mapping the Growing Neural Gas to Situation Calculus....Pages 957-962 Robust Unsupervised Competitive Neural Network by Local Competitive Signals....Pages 963-968 Goal Sequencing for Construction Agents in a Simulated Environment....Pages 969-974 Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map....Pages 975-980 Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps....Pages 981-986 A Pareto Self-Organizing Map....Pages 987-992 Front Matter....Pages 863-863 A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval....Pages 993-998 Learning More Accurate Metrics for Self-Organizing Maps....Pages 999-1004 Correlation Visualization of High Dimensional Data Using Topographic Maps....Pages 1005-1010 Front Matter....Pages 1011-1011 Continuous Unsupervised Sleep Staging Based on a Single EEG Signal....Pages 1013-1018 Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management....Pages 1019-1024 On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model....Pages 1025-1030 Error Functions for Prediction of Episodes of Poor Air Quality....Pages 1031-1036 Adaptive Importance Sampling Technique for Neural Detector Training....Pages 1037-1042 State Space Neural Networks for Freeway Travel Time Prediction....Pages 1043-1048 Overcomplete ICA with a Geometric Algorithm....Pages 1049-1054 Improving Long- Term Online Prediction with Decoupled Extended Kalman Filters....Pages 1055-1060 Market Modeling Based on Cognitive Agents....Pages 1061-1067 An Efficiently Focusing Large Vocabulary Language Model....Pages 1068-1073 Neuro- classification of Bill Fatigue Levels Based on Acoustic Wavelet Components....Pages 1074-1079 Robust Estimator for the Learning Process in Neural Networks Applied in Time Series....Pages 1080-1086 An Improved Cumulant Based Method for Independent Component Analysis....Pages 1087-1093 Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration....Pages 1094-1099 Support Vector Robust Algorithms for Non- parametric Spectral Analysis....Pages 1100-1105 Support Vector Method for ARMA System Identification: A Robust Cost Interpretation....Pages 1106-1111 Dynamics of ICA for High- Dimensional Data....Pages 1112-1118 Front Matter....Pages 1011-1011 Beyond Comon’s Identifiability Theorem for Independent Component Analysis....Pages 1119-1124 Temporal Processing of Brain Activity for the Recognition of EEG Patterns....Pages 1125-1130 Critical Assessment of Option Pricing Methods Using Artificial Neural Networks....Pages 1131-1136 Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates....Pages 1137-1143 Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks....Pages 1144-1149 Convolutional Neural Networks for Radar Detection....Pages 1150-1155 A Simple Generative Model for Single-Trial EEG Classification....Pages 1156-1161 Robust Blind Source Separation Utilizing Second and Fourth Order Statistics....Pages 1162-1167 Adaptive Differential Decorrelation: A Natural Gradient Algorithm....Pages 1168-1173 An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services....Pages 1174-1179 Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints....Pages 1180-1185 Mixtures of Autoregressive Models for Financial Risk Analysis....Pages 1186-1191 Front Matter....Pages 1193-1193 Kernel-Based 3D Object Representation....Pages 1195-1200 Multiresolution Support for Adaptive Image Restoration Using Neural Networks....Pages 1201-1206 Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons....Pages 1207-1212 An Algorithm for Image Representation as Independent Levels of Resolution....Pages 1213-1218 Circular Back-Propagation Networks for Measuring Displayed Image Quality....Pages 1219-1224 Unsupervised Learning of Combination Features for Hierarchical Recognition Models....Pages 1225-1230 Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration....Pages 1231-1236 Using Neural Field Dynamics in the Context of Attentional Control....Pages 1237-1242 Front Matter....Pages 1193-1193 A Component Association Architecture for Image Understanding....Pages 1243-1248 Novelty Detection in Video Surveillance Using Hierarchical Neural Networks....Pages 1249-1254 Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation....Pages 1255-1260 Population Coding of Multiple Edge Orientation....Pages 1261-1267 A Neural Model of the Fly Visual System Applied to Navigational Tasks....Pages 1268-1274 A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention....Pages 1275-1280 Automatic Fingerprint Verification Using Neural Networks....Pages 1281-1286 Fusing Images with Multiple Focuses Using Support Vector Machines....Pages 1287-1292 An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights....Pages 1293-1298 Kohonen Maps Applied to Fast Image Vector Quantization....Pages 1299-1304 Unsupervised - Neural Network Approach for Efficient Video Description....Pages 1305-1311 Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences....Pages 1312-1318 Learning Face Localization Using Hierarchical Recurrent Networks....Pages 1319-1324 A Comparison of Face Detection Algorithms....Pages 1325-1330 Front Matter....Pages 1331-1331 Adaptive Model Selection for Digital Linear Classifiers....Pages 1333-1338 Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization....Pages 1339-1344 Automatic Hyperparameter Tuning for Support Vector Machines....Pages 1345-1350 Conjugate Directions for Stochastic Gradient Descent....Pages 1351-1356 Front Matter....Pages 1357-1357 Architectural Bias in Recurrent Neural Networks — Fractal Analysis....Pages 1359-1364 Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods....Pages 1365-1370 Front Matter....Pages 1357-1357 Time-Scaling in Recurrent Neural Learning....Pages 1371-1376 The International Conferences on Arti?cial Neural Networks, ICANN, have been held annually since 1991 and over the years have become the major European meeting in neural networks. This proceedings volume contains all the papers presented at ICANN 2002, the 12th ICANN conference, held in August 28{u2013} 30, 2002 at the Escuela Técnica Superior de Inforḿatica of the Universidad Aut́onoma de Madrid and organized by its Neural Networks group. ICANN 2002 received a very high number of contributions, more than 450. Almost all papers were revised by three independent reviewers, selected among the more than 240 serving at this year{u2019}s ICANN, and 221 papers were ?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference The International Conferences on Arti?cial Neural Networks, ICANN, have been held annually since 1991 and over the years have become the major European meeting in neural networks. This proceedings volume contains all the papers presented at ICANN 2002, the 12th ICANN conference, held in August 28- 30, 2002 at the Escuela Tþecnica Superior de Informþatica of the Universidad Autþonoma de Madrid and organized by its Neural Networks group. ICANN 2002 received a very high number of contributions, more than 450. Almost all papers were revised by three independent reviewers, selected among the more than 240 serving at this year's ICANN, and 221 papers were?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference