Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I

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This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.

Author(s): Shotaro Akaho (auth.), Véra Kůrková, Roman Neruda, Jan Koutník (eds.)
Series: Lecture Notes in Computer Science 5163 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2008

Language: English
Pages: 1026
Tags: Computation by Abstract Devices; Artificial Intelligence (incl. Robotics); Pattern Recognition; Information Systems Applications (incl.Internet); Neurosciences

Front Matter....Pages -
Dimension Reduction for Mixtures of Exponential Families....Pages 1-10
Several Enhancements to Hermite-Based Approximation of One-Variable Functions....Pages 11-20
Multi-category Bayesian Decision by Neural Networks....Pages 21-30
Estimates of Network Complexity and Integral Representations....Pages 31-40
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios....Pages 41-50
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy....Pages 51-60
Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory....Pages 61-70
Global Dynamics of Finite Cellular Automata....Pages 71-78
Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training....Pages 79-88
A New Type of ART2 Architecture and Application to Color Image Segmentation....Pages 89-98
BICA: A Boolean Indepenedent Component Analysis Approach....Pages 99-108
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization....Pages 109-118
Manifold Construction Using the Multilayer Perceptron....Pages 119-127
Improving Performance of a Binary Classifier by Training Set Selection....Pages 128-135
An Overcomplete ICA Algorithm by InfoMax and InfoMin....Pages 136-144
OP-ELM: Theory, Experiments and a Toolbox....Pages 145-154
Robust Nonparametric Probability Density Estimation by Soft Clustering....Pages 155-164
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis....Pages 165-174
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation....Pages 175-184
The Influence of the Risk Functional in Data Classification with MLPs....Pages 185-194
Nonnegative Least Squares Learning for the Random Neural Network....Pages 195-204
Sparse Bayes Machines for Binary Classification....Pages 205-214
Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution....Pages 215-224
Mixture of Expert Used to Learn Game Play....Pages 225-234
Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences....Pages 235-244
Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods....Pages 245-254
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis....Pages 255-264
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis....Pages 265-274
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set....Pages 275-284
New Results on Combination Methods for Boosting Ensembles....Pages 285-294
Batch Support Vector Training Based on Exact Incremental Training....Pages 295-304
A Kernel Method for the Optimization of the Margin Distribution....Pages 305-314
A 4–Vector MDM Algorithm for Support Vector Training....Pages 315-324
Implementation Issues of an Incremental and Decremental SVM....Pages 325-335
Online Clustering of Non-stationary Data Using Incremental and Decremental SVM....Pages 336-345
Support Vector Machines for Visualization and Dimensionality Reduction....Pages 346-356
Multigrid Reinforcement Learning with Reward Shaping....Pages 357-366
Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments....Pages 367-376
Robust Population Coding in Free-Energy-Based Reinforcement Learning....Pages 377-386
Policy Gradients with Parameter-Based Exploration for Control....Pages 387-396
A Continuous Internal-State Controller for Partially Observable Markov Decision Processes....Pages 397-406
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression....Pages 407-416
Error-Entropy Minimization for Dynamical Systems Modeling....Pages 417-425
Hybrid Evolution of Heterogeneous Neural Networks....Pages 426-434
Ant Colony Optimization with Castes....Pages 435-442
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms....Pages 443-451
Analysis of Vestibular-Ocular Reflex by Evolutionary Framework....Pages 452-461
Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?....Pages 462-471
Evolutionary Canonical Particle Swarm Optimizer – A Proposal of Meta-optimization in Model Selection....Pages 472-481
Building Localized Basis Function Networks Using Context Dependent Clustering....Pages 482-491
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics....Pages 492-502
Neuro-fuzzy System for Road Signs Recognition....Pages 503-512
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons....Pages 513-522
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors....Pages 523-532
Municipal Creditworthiness Modelling by Kohonen’s Self-Organizing Feature Maps and Fuzzy Logic Neural Networks....Pages 533-542
Implementing Boolean Matrix Factorization....Pages 543-552
Application of Potts-Model Perceptron for Binary Patterns Identification....Pages 553-561
Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting....Pages 562-571
Matrix Learning for Topographic Neural Maps....Pages 572-582
Clustering Quality and Topology Preservation in Fast Learning SOMs....Pages 583-592
Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization....Pages 593-602
Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps....Pages 603-612
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees....Pages 613-622
Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity....Pages 623-631
Temporal Hebbian Self-Organizing Map for Sequences....Pages 632-641
FLSOM with Different Rates for Classification in Imbalanced Datasets....Pages 642-651
A Self-organizing Neural System for Background and Foreground Modeling....Pages 652-661
Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution....Pages 662-670
Decreasing Neighborhood Revisited in Self-Organizing Maps....Pages 671-679
A New GHSOM Model Applied to Network Security....Pages 680-689
Reduction of Visual Information in Neural Network Learning Visualization....Pages 690-699
Heuristiscs-Based High-Level Strategy for Multi-agent Systems....Pages 700-709
Echo State Networks for Online Prediction of Movement Data – Comparing Investigations....Pages 710-719
Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem....Pages 720-729
Modular Neural Networks for Model-Free Behavioral Learning....Pages 730-739
From Exploration to Planning....Pages 740-749
Sentence-Level Evaluation Using Co-occurences of N-Grams....Pages 750-758
Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation....Pages 759-767
ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers....Pages 768-777
Predictive Modeling with Echo State Networks....Pages 778-787
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources....Pages 788-797
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction....Pages 798-807
Stable Output Feedback in Reservoir Computing Using Ridge Regression....Pages 808-817
Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps....Pages 818-826
Image Classification by Histogram Features Created with Learning Vector Quantization....Pages 827-836
A Statistical Model for Histogram Refinement....Pages 837-846
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach....Pages 847-856
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes....Pages 857-866
A Spatio-temporal Extension of the SUSAN-Filter....Pages 867-876
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection....Pages 877-886
A Hierarchic Method for Footprint Segmentation Based on SOM....Pages 887-896
Co-occurrence Matrixes for the Quality Assessment of Coded Images....Pages 897-906
Semantic Adaptation of Neural Network Classifiers in Image Segmentation....Pages 907-916
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms....Pages 917-926
A Neuro-fuzzy Approach to User Attention Recognition....Pages 927-936
TriangleVision: A Toy Visual System....Pages 937-950
Face Recognition with VG-RAM Weightless Neural Networks....Pages 951-960
Invariant Object Recognition with Slow Feature Analysis....Pages 961-970
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes....Pages 971-981
A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects....Pages 982-990
A Visual Object Recognition System Invariant to Scale and Rotation....Pages 991-1000
Recognizing Facial Expressions: A Comparison of Computational Approaches....Pages 1001-1010
A Probabilistic Prediction Method for Object Contour Tracking....Pages 1011-1020
Back Matter....Pages -