Table of Contents

• Combining Pattern Recognition Modalities at the Sensor Level Via Kernel FusionVadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin. 1-12 [doi]
• The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern RecognitionDavid Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev. 13-21 [doi]
• Kernel Combination Versus Classifier CombinationWan-Jui Lee, Sergey Verzakov, Robert P. W. Duin. 22-31 [doi]
• Deriving the Kernel from Training DataStefano Merler, Giuseppe Jurman, Cesare Furlanello. 32-41 [doi]
• On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR DataKai Lienemann, Thomas Plötz, Gernot A. Fink. 42-51 [doi]
• A New HMM-Based Ensemble Generation Method for Numeral RecognitionAlbert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.. 52-61 [doi]
• Classifiers Fusion in Recognition of Wheat VarietiesSarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis. 62-71 [doi]
• Multiple Classifier Methods for Offline Handwritten Text Line RecognitionRoman Bertolami, Horst Bunke. 72-81 [doi]
• Applying Data Fusion Methods to Passage Retrieval in QASHans Ulrich Christensen, Daniel Ortiz Arroyo. 82-92 [doi]
• A Co-training Approach for Time Series Prediction with Missing DataTawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya. 93-102 [doi]
• An Improved Random Subspace Method and Its Application to EEG Signal ClassificationShiliang Sun. 103-112 [doi]
• Ensemble Learning Methods for Classifying EEG SignalsShiliang Sun. 113-120 [doi]
• Confidence Based Gating of Colour Features for Face AuthenticationMohammad Sadeghi, Samaneh Khoshrou, Josef Kittler. 121-130 [doi]
• View-Based Eigenspaces with Mixture of Experts for View-Independent Face RecognitionReza Ebrahimpour, Ehsanollah Kabir, Mohammad Reza Yousefi. 131-140 [doi]
• Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face VerificationÁngel Serrano, Isaac Martín de Diego, Cristina Conde, Enrique Cabello, Li Bai, LinLin Shen. 141-150 [doi]
• Serial Fusion of Fingerprint and Face MatchersGian Luca Marcialis, Fabio Roli. 151-160 [doi]
• Boosting Lite - Handling Larger Datasets and Slower Base ClassifiersLawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer. 161-170 [doi]
• Information Theoretic Combination of Classifiers with Application to AdaBoostJulien Meynet, Jean-Philippe Thiran. 171-179 [doi]
• Interactive Boosting for Image ClassificationYijuan Lu, Qi Tian, Thomas S. Huang. 180-189 [doi]
• Group-Induced Vector SpacesManuele Bicego, Elzbieta Pekalska, Robert P. W. Duin. 190-199 [doi]
• Selecting Diversifying Heuristics for Cluster EnsemblesStefan Todorov Hadjitodorov, Ludmila I. Kuncheva. 200-209 [doi]
• Unsupervised Texture Segmentation Using Multiple Segmenters StrategyMichal Haindl, Stanislav Mikes. 210-219 [doi]
• Classifier Ensembles for Vector Space Embedding of GraphsKaspar Riesen, Horst Bunke. 220-230 [doi]
• Cascading for Nominal DataJesús Maudes, Juan José Rodríguez, Cesar García-Osorio. 231-240 [doi]
• A Combination of Sample Subsets and Feature Subsets in One-Against-Other ClassifiersMineichi Kudo, Satoshi Shirai, Hiroshi Tenmoto. 241-250 [doi]
• Random Feature Subset Selection for Ensemble Based Classification of Data with Missing FeaturesJoseph DePasquale, Robi Polikar. 251-260 [doi]
• Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature SelectionHugo Silva, Ana L. N. Fred. 261-270 [doi]
• Stopping Criteria for Ensemble-Based Feature SelectionTerry Windeatt, Matthew Prior. 271-281 [doi]
• On Rejecting Unreliably Classified PatternsPasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento. 282-291 [doi]
• Bayesian Analysis of Linear CombinersBattista Biggio, Giorgio Fumera, Fabio Roli. 292-301 [doi]
• Applying Pairwise Fusion Matrix on Fusion Functions for Classifier CombinationAlbert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.. 302-311 [doi]
• Modelling Multiple-Classifier Relationships Using Bayesian Belief NetworksSamuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst. 312-321 [doi]
• Classifier Combining Rules Under Independence AssumptionsShoushan Li, Chengqing Zong. 322-332 [doi]
• Embedding Reject Option in ECOC Through LDPC CodesClaudio Marrocco, Paolo Simeone, Francesco Tortorella. 333-343 [doi]
• On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion ClassifiersNorman Poh, Guillaume Heusch, Josef Kittler. 344-356 [doi]
• Index Driven Combination of Multiple Biometric Experts for AUC MaximisationRoberto Tronci, Giorgio Giacinto, Fabio Roli. 357-366 [doi]
• ::::Q::::-::::stack::::: Uni- and Multimodal Classifier Stacking with Quality MeasuresKrzysztof Kryszczuk, Andrzej Drygajlo. 367-376 [doi]
• Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric AuthenticationJonas Richiardi, Andrzej Drygajlo. 377-386 [doi]
• Optimal Classifier Combination Rules for Verification and Identification SystemsSergey Tulyakov, Venu Govindaraju, Chaohong Wu. 387-396 [doi]
• Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced DatasetsNitesh V. Chawla, Jared Sylvester. 397-406 [doi]
• On the Diversity-Performance Relationship for Majority Voting in Classifier EnsemblesYun Sheng Chung, D. Frank Hsu, Chuan Yi Tang. 407-420 [doi]
• Hierarchical Behavior Knowledge SpaceHubert Cecotti, Abdel Belaïd. 421-430 [doi]
• A New Dynamic Ensemble Selection Method for Numeral RecognitionAlbert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.. 431-439 [doi]
• Ensemble Learning in Linearly Combined Classifiers Via Negative CorrelationManuela Zanda, Gavin Brown, Giorgio Fumera, Fabio Roli. 440-449 [doi]
• Naïve Bayes Ensembles with a Random OracleJuan José Rodríguez, Ludmila I. Kuncheva. 450-458 [doi]
• An Experimental Study on Rotation Forest EnsemblesLudmila I. Kuncheva, Juan José Rodríguez. 459-468 [doi]
• Cooperative Coevolutionary Ensemble LearningDaniel Kanevskiy, Konstantin Vorontsov. 469-478 [doi]
• Robust Inference in Bayesian Networks with Application to Gene Expression Temporal DataOmer Berkman, Nathan Intrator. 479-489 [doi]
• An Ensemble Approach for Incremental Learning in Nonstationary EnvironmentsMichael Muhlbaier, Robi Polikar. 490-500 [doi]
• Multiple Classifier Systems in Remote Sensing: From Basics to Recent DevelopmentsJon Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel. 501-512 [doi]
• Biometric Person Authentication Is a Multiple Classifier ProblemSamy Bengio, Johnny Mariéthoz. 513-522 [doi]