This book constitutes the refereed proceedings of the 6th International Workshop on Multiple Classifier Systems, MCS 2005, held in Seaside, CA, USA in June 2005.
The 42 revised full papers presented were carefully reviewed and are organized in topical sections on boosting, combination methods, design of ensembles, performance analysis, and applications. They exemplify significant advances in the theory, algorithms, and applications of multiple classifier systems – bringing the different scientific communities together.
Author(s): Fabio Roli (auth.), Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli (eds.)
Series: Lecture Notes in Computer Science 3541 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Language: English
Pages: 432
Tags: Pattern Recognition; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Computation by Abstract Devices
Front Matter....Pages -
Semi-supervised Multiple Classifier Systems: Background and Research Directions....Pages 1-11
Boosting GMM and Its Two Applications....Pages 12-21
Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection....Pages 22-31
Observations on Boosting Feature Selection....Pages 32-41
Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis....Pages 42-52
Decoding Rules for Error Correcting Output Code Ensembles....Pages 53-63
A Probability Model for Combining Ranks....Pages 64-73
EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks....Pages 74-85
Mixture of Gaussian Processes for Combining Multiple Modalities....Pages 86-96
Dynamic Classifier Integration Method....Pages 97-107
Recursive ECOC for Microarray Data Classification....Pages 108-117
Using Dempster-Shafer Theory in MCF Systems to Reject Samples....Pages 118-127
Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers....Pages 128-135
On Deriving the Second-Stage Training Set for Trainable Combiners....Pages 136-146
Using Independence Assumption to Improve Multimodal Biometric Fusion....Pages 147-155
Half-Against-Half Multi-class Support Vector Machines....Pages 156-164
Combining Feature Subsets in Feature Selection....Pages 165-175
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments....Pages 176-185
Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models....Pages 186-195
Ensembles of Classifiers from Spatially Disjoint Data....Pages 196-205
Optimising Two-Stage Recognition Systems....Pages 206-215
Design of Multiple Classifier Systems for Time Series Data....Pages 216-225
Ensemble Learning with Biased Classifiers: The Triskel Algorithm....Pages 226-235
Cluster-Based Cumulative Ensembles....Pages 236-245
Ensemble of SVMs for Incremental Learning....Pages 246-256
Design of a New Classifier Simulator....Pages 257-266
Evaluation of Diversity Measures for Binary Classifier Ensembles....Pages 267-277
Which Is the Best Multiclass SVM Method? An Empirical Study....Pages 278-285
Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC Frameworks....Pages 286-295
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function....Pages 296-305
Data Partitioning Evaluation Measures for Classifier Ensembles....Pages 306-315
Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation....Pages 316-325
Ensemble Confidence Estimates Posterior Probability....Pages 326-335
Using Domain Knowledge in the Random Subspace Method: Application to the Classification of Biomedical Spectra....Pages 336-345
An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble....Pages 346-355
Speaker Verification Using Adapted User-Dependent Multilevel Fusion....Pages 356-365
Multi-modal Person Recognition for Vehicular Applications....Pages 366-375
Using an Ensemble of Classifiers to Audit a Production Classifier....Pages 376-386
Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance....Pages 387-396
Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation....Pages 397-406
Designing Multiple Classifier Systems for Face Recognition....Pages 407-416
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data....Pages 417-427
Back Matter....Pages -
