Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings

Front Matter....Pages -
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion....Pages 1-12
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition....Pages 13-21
Kernel Combination Versus Classifier Combination....Pages 22-31
Deriving the Kernel from Training Data....Pages 32-41
On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data....Pages 42-51
A New HMM-Based Ensemble Generation Method for Numeral Recognition....Pages 52-61
Classifiers Fusion in Recognition of Wheat Varieties....Pages 62-71
Multiple Classifier Methods for Offline Handwritten Text Line Recognition....Pages 72-81
Applying Data Fusion Methods to Passage Retrieval in QAS....Pages 82-92
A Co-training Approach for Time Series Prediction with Missing Data....Pages 93-102
An Improved Random Subspace Method and Its Application to EEG Signal Classification....Pages 103-112
Ensemble Learning Methods for Classifying EEG Signals....Pages 113-120
Confidence Based Gating of Colour Features for Face Authentication....Pages 121-130
View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition....Pages 131-140
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification....Pages 141-150
Serial Fusion of Fingerprint and Face Matchers....Pages 151-160
Boosting Lite – Handling Larger Datasets and Slower Base Classifiers....Pages 161-170
Information Theoretic Combination of Classifiers with Application to AdaBoost....Pages 171-179
Interactive Boosting for Image Classification....Pages 180-189
Group-Induced Vector Spaces....Pages 190-199
Selecting Diversifying Heuristics for Cluster Ensembles....Pages 200-209
Unsupervised Texture Segmentation Using Multiple Segmenters Strategy....Pages 210-219
Classifier Ensembles for Vector Space Embedding of Graphs....Pages 220-230
Cascading for Nominal Data....Pages 231-240
A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers....Pages 241-250
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features....Pages 251-260
Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection....Pages 261-270
Stopping Criteria for Ensemble-Based Feature Selection....Pages 271-281
On Rejecting Unreliably Classified Patterns....Pages 282-291
Bayesian Analysis of Linear Combiners....Pages 292-301
Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination....Pages 302-311
Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks....Pages 312-321
Classifier Combining Rules Under Independence Assumptions....Pages 322-332
Embedding Reject Option in ECOC Through LDPC Codes....Pages 333-343
On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers....Pages 344-356
Index Driven Combination of Multiple Biometric Experts for AUC Maximisation....Pages 357-366
 Q  −  stack : Uni- and Multimodal Classifier Stacking with Quality Measures....Pages 367-376
Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication....Pages 377-386
Optimal Classifier Combination Rules for Verification and Identification Systems....Pages 387-396
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets....Pages 397-406
On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles....Pages 407-420
Hierarchical Behavior Knowledge Space....Pages 421-430
A New Dynamic Ensemble Selection Method for Numeral Recognition....Pages 431-439
Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation....Pages 440-449
Naïve Bayes Ensembles with a Random Oracle....Pages 450-458
An Experimental Study on Rotation Forest Ensembles....Pages 459-468
Cooperative Coevolutionary Ensemble Learning....Pages 469-478
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data....Pages 479-489
An Ensemble Approach for Incremental Learning in Nonstationary Environments....Pages 490-500
Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments....Pages 501-512
Biometric Person Authentication Is a Multiple Classifier Problem....Pages 513-522
Back Matter....Pages -