This book constitutes the refereed proceedings of the Third International Workshop on Multiple Classifier Systems, MCS 2002, held in Cagliari, Italy, in June 2002.
The 29 revised full papers presented together with three invited papers were carefully reviewed and selected for inclusion in the volume. The papers are organized in topical sections on bagging and boosting, ensemble learning and neural networks, design methodologies, combination strategies, analysis and performance evaluation, and applications.
Author(s): Joydeep Ghosh (auth.), Fabio Roli, Josef Kittler (eds.)
Series: Lecture Notes in Computer Science 2364
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2002
Language: English
Pages: 342
Tags: Pattern Recognition; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Algorithm Analysis and Problem Complexity
Multiclassifier Systems: Back to the Future....Pages 1-15
Support Vector Machines, Kernel Logistic Regression and Boosting....Pages 16-26
Multiple Classification Systems in the Context of Feature Extraction and Selection....Pages 27-41
Boosted Tree Ensembles for Solving Multiclass Problems....Pages 42-51
Distributed Pasting of Small Votes....Pages 52-61
Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy....Pages 62-71
Highlighting Hard Patterns via AdaBoost Weights Evolution....Pages 72-80
Using Diversity with Three Variants of Boosting: Aggressive, Conservative, and Inverse....Pages 81-90
Multistage Neural Network Ensembles....Pages 91-97
Forward and Backward Selection in Regression Hybrid Network....Pages 98-107
Types of Multinet System....Pages 108-117
Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining....Pages 118-126
New Measure of Classifier Dependency in Multiple Classifier Systems....Pages 127-136
A Discussion on the Classifier Projection Space for Classifier Combining....Pages 137-148
On the General Application of the Tomographic Classifier Fusion Methodology....Pages 149-158
Post-processing of Classifier Outputs in Multiple Classifier Systems....Pages 159-168
Trainable Multiple Classifier Schemes for Handwritten Character Recognition....Pages 169-178
Generating Classifier Ensembles from Multiple Prototypes and Its Application to Handwriting Recognition....Pages 179-188
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data....Pages 189-200
Stacking with Multi-response Model Trees....Pages 201-211
On Combining One-Class Classifiers for Image Database Retrieval....Pages 212-221
Bias—Variance Analysis and Ensembles of SVM....Pages 222-231
An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs....Pages 232-241
Reduction of the Boasting Bias of Linear Experts....Pages 242-251
Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers....Pages 252-261
Boosting and Classification of Electronic Nose Data....Pages 262-271
Content-Based Classification of Digital Photos....Pages 272-281
Classifier Combination for In Vivo Magnetic Resonance Spectra of Brain Tumours....Pages 282-292
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach....Pages 293-303
A Multi-expert System for Movie Segmentation....Pages 304-313
Decision Level Fusion of Intramodal Personal Identity Verification Experts....Pages 314-324
An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems....Pages 325-335
