Artificial Neural Networks — ICANN 2002: International Conference Madrid, Spain, August 28–30, 2002 Proceedings

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