Artificial Neural Networks in Pattern Recognition: Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings

Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi (auth.), Lionel Prevost, Simone Marinai, Friedhelm Schwenker (eds.)3540699384, 9783540699385

This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008.

The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.

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Table of contents :
Front Matter….Pages –
Patch Relational Neural Gas – Clustering of Huge Dissimilarity Datasets….Pages 1-12
The Block Generative Topographic Mapping….Pages 13-23
Kernel k -Means Clustering Applied to Vector Space Embeddings of Graphs….Pages 24-35
Probabilistic Models Based on the Π-Sigmoid Distribution….Pages 36-43
How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise….Pages 44-53
Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis….Pages 54-65
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network….Pages 66-77
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics….Pages 78-89
Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four….Pages 90-100
Cyclostationary Neural Networks for Air Pollutant Concentration Prediction….Pages 101-112
Fuzzy Evolutionary Probabilistic Neural Networks….Pages 113-124
Experiments with Supervised Fuzzy LVQ….Pages 125-132
A Neural Network Approach to Similarity Learning….Pages 133-136
Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes….Pages 137-146
Boosting Threshold Classifiers for High– Dimensional Data in Functional Genomics….Pages 147-156
Decision Fusion on Boosting Ensembles….Pages 157-167
The Mixture of Neural Networks as Ensemble Combiner….Pages 168-179
Combining Methods for Dynamic Multiple Classifier Systems….Pages 180-192
Researching on Multi-net Systems Based on Stacked Generalization….Pages 193-204
Real-Time Emotion Recognition from Speech Using Echo State Networks….Pages 205-216
Sentence Understanding and Learning of New Words with Large-Scale Neural Networks….Pages 217-227
Multi-class Vehicle Type Recognition System….Pages 228-239
A Bio-inspired Neural Model for Colour Image Segmentation….Pages 240-251
Mining Software Aging Patterns by Artificial Neural Networks….Pages 252-262
Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy….Pages 263-266
Feature Ranking Ensembles for Facial Action Unit Classification….Pages 267-279
Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration….Pages 280-291
Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition….Pages 292-304
Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint….Pages 305-316
Back Matter….Pages –