Multiple Classifier Systems: 4th International Workshop, MCS 2003 Guildford, UK, June 11–13, 2003 Proceedings

Data Dependence in Combining Classifiers....Pages 1-14
Boosting with Averaged Weight Vectors....Pages 15-24
Error Bounds for Aggressive and Conservative AdaBoost....Pages 25-34
An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise....Pages 35-44
The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns....Pages 45-54
The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement....Pages 55-64
Reducing the Overconfidence of Base Classifiers when Combining Their Decisions....Pages 65-73
Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results....Pages 74-83
Comparison of Classifier Selection Methods for Improving Committee Performance....Pages 84-93
Towards Automated Classifier Combination for Pattern Recognition....Pages 94-105
Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding....Pages 106-114
Polychotomous Classification with Pairwise Classifiers: A New Voting Principle....Pages 115-124
Multi-category Classification by Soft-Max Combination of Binary Classifiers....Pages 125-134
A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-Entropy....Pages 135-145
Binary Classifier Fusion Based on the Basic Decomposition Methods....Pages 146-155
Good Error Correcting Output Codes for Adaptive Multiclass Learning....Pages 156-165
Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors....Pages 166-175
An Ensemble Approach for Data Fusion with Learn++....Pages 176-185
The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion....Pages 186-195
Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database....Pages 196-205
Beam Search Extraction and Forgetting Strategies on Shared Ensembles....Pages 206-216
A Markov Chain Approach to Multiple Classifier Fusion....Pages 217-226
A Study of Ensemble of Hybrid Networks with Strong Regularization....Pages 227-235
Combining Multiple Modes of Information Using Unsupervised Neural Classifiers....Pages 236-245
Neural Net Ensembles for Lithology Recognition....Pages 246-255
Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks....Pages 256-265
Negative Correlation Learning and the Ambiguity Family of Ensemble Methods....Pages 266-275
Spectral Coefficients and Classifier Correlation....Pages 276-285
Ensemble Construction via Designed Output Distortion....Pages 286-295
Simulating Classifier Outputs for Evaluating Parallel Combination Methods....Pages 296-305
A New Ensemble Diversity Measure Applied to Thinning Ensembles....Pages 306-316
Ensemble Methods for Noise Elimination in Classification Problems....Pages 317-325
New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task....Pages 326-335
Automatic Target Recognition Using Multiple Description Coding Models for Multiple Classifier Systems....Pages 336-345
A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks....Pages 346-355
Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition....Pages 356-365
Building Classifier Ensembles for Automatic Sports Classification....Pages 366-374
Classification of Aircraft Maneuvers for Fault Detection....Pages 375-384
Solving Problems Two at a Time: Classification of Web Pages Using a Generic Pair-Wise Multiple Classifier System....Pages 385-394
Design and Evaluation of an Adaptive Combination Framework for OCR Result Strings....Pages 395-404