Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005. Proceedings

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 -