## Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, ProceedingsThis 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. |

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### Contents

Dimension Reduction for Mixtures of Exponential Families | 1 |

Several Enhancements to HermiteBased Approximation of OneVariable Functions | 11 |

Multicategory Bayesian Decision by Neural Networks | 21 |

Estimates of Network Complexity and Integral | 31 |

Reliability of CrossValidation for SVMs in HighDimensional Low Sample Size Scenarios | 41 |

Generalization of Concave and Convex Decomposition in Kikuchi Free Energy | 51 |

Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory | 61 |

Global Dynamics of Finite Cellular Automata | 71 |

Neuroinspired Speech Recognition with Recurrent Spiking Neurons | 513 |

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Metaregressors | 523 |

Kohonens SelfOrganizing Feature Maps and Fuzzy Logic Neural Networks | 533 |

Implementing Boolean Matrix Factorization | 543 |

Application of PottsModel Perceptron for Binary Patterns Identiﬁcation | 553 |

Using ARTMAPBased Ensemble Systems Designed by Three Variants of Boosting | 562 |

Matrix Learning for Topographic Neural Maps | 572 |

Clustering Quality and Topology Preservation in Fast Learning SOMs | 583 |

Semisupervised Learning of TreeStructured RBF Networks Using Cotraining | 79 |

A New Type of ART2 Architecture and Application to Color Image Segmentation | 89 |

A Boolean Indepenedent Component Analysis Approach | 99 |

LSTM Network by Estimating the Conﬁguration | 109 |

Manifold Construction Using the Multilayer Perceptron | 119 |

Improving Performance of a Binary Classiﬁer by Training Set Selection | 128 |

An Overcomplete ICA Algorithm by InfoMax and InfoMin | 136 |

Theory Experiments and a Toolbox | 145 |

Robust Nonparametric Probability Density Estimation by Soft Clustering | 155 |

Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis | 165 |

Programming for Subspace Selection in Kernel Regression Estimation | 175 |

The Inﬂuence of the Risk Functional in Data Classiﬁcation with MLPs | 185 |

Nonnegative Least Squares Learning for the Random Neural Network | 195 |

Sparse Bayes Machines for Binary Classiﬁcation | 205 |

Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution | 215 |

Mixture of Expert Used to Learn Game Play | 225 |

Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences | 235 |

Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and SelectionBased Methods | 245 |

Bayesian YingYang Learning on Orthogonal Binary Factor Analysis | 255 |

A Comparative Study on Data Smoothing Regularization for Local Factor Analysis | 265 |

Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set | 275 |

New Results on Combination Methods for Boosting Ensembles | 285 |

Batch Support Vector Training Based on Exact Incremental Training | 295 |

A Kernel Method for the Optimization of the Margin Distribution | 305 |

A 4Vector MDM Algorithm for Support Vector Training | 315 |

Implementation Issues of an Incremental and Decremental SVM | 325 |

Online Clustering of Nonstationary Data Using Incremental and Decremental SVM | 336 |

Support Vector Machines for Visualization and Dimensionality Reduction | 346 |

Shaping Marek Grzesand DanielKudenko | 357 |

Based on Policy Gradient in Nonstationary Environments | 367 |

Robust Population Coding in FreeEnergyBased Reinforcement Learning | 377 |

Policy Gradients with ParameterBased Exploration for Control | 387 |

A Continuous InternalState Controller for Partially Observable Markov Decision Processes | 397 |

Episodic Reinforcement Learning by Logistic RewardWeighted Regression | 407 |

ErrorEntropy Minimization for Dynamical Systems Modeling | 417 |

Hybrid Evolution of Heterogeneous Neural Networks | 426 |

Ant Colony Optimization with Castes | 435 |

Problems Using Multiobjective Genetic Algorithms | 443 |

Analysis of VestibularOcular Reﬂex by Evolutionary Framework | 452 |

Standard Techniques or Computational Intelligence Methods? | 462 |

Evolutionary Canonical Particle Swarm Optimizer A Proposal of Metaoptimization in Model Selection | 472 |

Building Localized Basis Function Networks Using Context Dependent Clustering | 482 |

Adaptation of Connectionist Weighted Fuzzy Logic Programs with KripkeKleene Semantics | 492 |

Neurofuzzy System for Road Signs Recognition | 503 |

Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization | 593 |

Finding Interlingual Mappings Using SelfOrganizing Maps | 603 |

Efficient Multiple Classiﬁer System with Pruned SelfGenerating Neural Trees | 613 |

Selforganized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity | 623 |

Temporal Hebbian SelfOrganizing Map for Sequences | 632 |

FLSOM with Different Rates for Classiﬁcation in Imbalanced Datasets | 642 |

A Selforganizing Neural System for Background and Foreground Modeling | 652 |

Wavelet Decomposition of Time Series Generated during Its Execution | 662 |

Decreasing Neighborhood Revisited in SelfOrganizing Maps | 671 |

A New GHSOM Model Applied to Network Security | 680 |

Reduction of Visual Information in Neural Network Learning Visualization | 690 |

HeuristiscsBased HighLevel Strategy for Multiagent Systems | 700 |

Echo State Networks for Online Prediction of Movement Data Comparing Investigations | 710 |

Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem | 720 |

Modular Neural Networks for ModelFree Behavioral Learning | 730 |

From Exploration to Planning | 740 |

SentenceLevel Evaluation Using Cooccurences of NGrams | 750 |

Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation | 759 |

ECG Signal Classiﬁcation Using GAME Neural Network and Its Comparison to Other Classiﬁers | 768 |

Predictive Modeling with Echo State Networks | 778 |

Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources | 788 |

Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction | 798 |

Stable Output Feedback in Reservoir Computing Using Ridge Regression | 808 |

Spatiotemporal Summarizing Method of Periodic Image Sequences with Kohonen Maps | 818 |

Image Classiﬁcation by Histogram Features Created with Learning Vector Quantization | 827 |

A Statistical Model for Histogram Reﬁnement | 837 |

Eﬃcient Video Shot Summarization Using an Enhanced Spectral Clustering Approach | 847 |

Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes | 857 |

A Spatiotemporal Extension of the SUSANFilter | 867 |

A NeighborhoodBased Competitive Network for Video Segmentation and Object Detection | 877 |

Cooccurrence Matrixes for the Quality Assessment of Coded Images | 897 |

Semantic Adaptation of Neural Network Classiﬁers in Image Segmentation | 907 |

Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms | 917 |

A Neurofuzzy Approach to User Attention | 927 |

A Toy Visual System | 937 |

Face Recognition with VGRAM Weightless Neural Networks | 951 |

Invariant Object Recognition with Slow Feature Analysis | 961 |

AnalysisbySynthesis by Learning to Invert Generative Black Boxes | 971 |

A Bioinspired Connectionist Architecture for Visual Classiﬁcation of Moving Objects | 982 |

A Visual Object Recognition System Invariant to Scale and Rotation | 991 |

A Comparison of Computational Approaches | 1001 |

A Probabilistic Prediction Method for Object Contour Tracking | 1011 |

1021 | |

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### Common terms and phrases

accuracy Adaboost adaptation analysis applied approach approximation architecture Artiﬁcial Berlin Heidelberg 2008 binary classiﬁers clustering coeﬃcients combination complex components computed conﬁguration database datasets deﬁned denotes detection diﬀerent dimensional distance distribution dynamics Echo State Networks eﬀective ensemble systems error estimation evaluation feed-forward ﬁgure ﬁnd ﬁrst ﬁxed function fuzzy Gaussian genetic algorithm gradient Heidelberg Hilbert space ICANN IEEE inﬂuence initial input iterations K˚urkov´a kernel Kohonen layer linear LNCS Machine Learning matrix method minimization mixture neural network neurons nodes noise obtained ofthe optimization output parameters Particle Swarm Optimization patterns perceptron performance pixel prediction problem proposed random recognition recurrent regression reinforcement learning representation samples segmentation selection Self-Organizing Maps sequence signal signiﬁcant solution space speciﬁc Springer Springer-Verlag Berlin Heidelberg subset Support Vector Machines Table tion training set units update values variables weights