Abstract is missing.
- Semi-supervised Multiple Classifier Systems: Background and Research DirectionsFabio Roli. 1-11 [doi]
- Boosting GMM and Its Two ApplicationsFei Wang, Changshui Zhang, Naijiang Lu. 12-21 [doi]
- Boosting Soft-Margin SVM with Feature Selection for Pedestrian DetectionKenji Nishida, Takio Kurita. 22-31 [doi]
- Observations on Boosting Feature SelectionD. B. Redpath, K. Lebart. 32-41 [doi]
- Boosting Multiple Classifiers Constructed by Hybrid Discriminant AnalysisQi Tian, Jie Yu, Thomas S. Huang. 42-52 [doi]
- Decoding Rules for Error Correcting Output Code EnsemblesRaymond S. Smith, Terry Windeatt. 53-63 [doi]
- A Probability Model for Combining RanksOfer Melnik, Yehuda Vardi, Cun-Hui Zhang. 64-73 [doi]
- EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication TasksNorman Poh, Samy Bengio. 74-85 [doi]
- Mixture of Gaussian Processes for Combining Multiple ModalitiesAshish Kapoor, Hyungil Ahn, Rosalind W. Picard. 86-96 [doi]
- Dynamic Classifier Integration MethodEunju Kim, Jaepil Ko. 97-107 [doi]
- Recursive ECOC for Microarray Data ClassificationElizabeth Tapia, Esteban Serra, José Carlos González. 108-117 [doi]
- Using Dempster-Shafer Theory in MCF Systems to Reject SamplesChristian Thiel, Friedhelm Schwenker, Günther Palm. 118-127 [doi]
- Multiple Classifier Fusion Performance in Networked Stochastic Vector QuantisersRobin Patenall, David Windridge, Josef Kittler. 128-135 [doi]
- On Deriving the Second-Stage Training Set for Trainable CombinersPavel Paclík, Thomas Landgrebe, David M. J. Tax, Robert P. W. Duin. 136-146 [doi]
- Using Independence Assumption to Improve Multimodal Biometric FusionSergey Tulyakov, Venu Govindaraju. 147-155 [doi]
- Half-Against-Half Multi-class Support Vector MachinesHansheng Lei, Venu Govindaraju. 156-164 [doi]
- Combining Feature Subsets in Feature SelectionMarina Skurichina, Robert P. W. Duin. 165-175 [doi]
- ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting EnvironmentsKyosuke Nishida, Koichiro Yamauchi, Takashi Omori. 176-185 [doi]
- Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification ModelsMordechai Gal-Or, Jerrold H. May, William E. Spangler. 186-195 [doi]
- Ensembles of Classifiers from Spatially Disjoint DataRobert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer. 196-205 [doi]
- Optimising Two-Stage Recognition SystemsThomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin. 206-215 [doi]
- Design of Multiple Classifier Systems for Time Series DataLei Chen, Mohamed S. Kamel. 216-225 [doi]
- Ensemble Learning with Biased Classifiers: The Triskel AlgorithmAndreas Heß, Rinat Khoussainov, Nicholas Kushmerick. 226-235 [doi]
- Cluster-Based Cumulative EnsemblesHanan Ayad, Mohamed S. Kamel. 236-245 [doi]
- Ensemble of SVMs for Incremental LearningZeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak. 246-256 [doi]
- Design of a New Classifier SimulatorLi-ying Yang, Zheng Qin. 257-266 [doi]
- Evaluation of Diversity Measures for Binary Classifier EnsemblesAnand M. Narasimhamurthy. 267-277 [doi]
- Which Is the Best Multiclass SVM Method? An Empirical StudyKaibo Duan, S. Sathiya Keerthi. 278-285 [doi]
- Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC FrameworksMatthew Prior, Terry Windeatt. 286-295 [doi]
- Between Two Extremes: Examining Decompositions of the Ensemble Objective FunctionGavin Brown, Jeremy L. Wyatt, Ping Sun. 296-305 [doi]
- Data Partitioning Evaluation Measures for Classifier EnsemblesRozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel. 306-315 [doi]
- Dynamics of Variance Reduction in Bagging and Other Techniques Based on RandomisationGiorgio Fumera, Fabio Roli, Alessandra Serrau. 316-325 [doi]
- Ensemble Confidence Estimates Posterior ProbabilityMichael Muhlbaier, Apostolos Topalis, Robi Polikar. 326-335 [doi]
- Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical SpectraErinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai. 336-345 [doi]
- An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine EnsemblePeng Li, Kap Luk Chan, Sheng Fu, Shankar Muthu Krishnan. 346-355 [doi]
- Speaker Verification Using Adapted User-Dependent Multilevel FusionJulian Fiérrez-Aguilar, Daniel Garcia-Romero, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez. 356-365 [doi]
- Multi-modal Person Recognition for Vehicular ApplicationsHakan Erdogan, Aytal Erçil, Hazim Kemal Ekenel, S. Y. Bilgin, Ibrahim Eden, Meltem Kirisçi, Huseyin Abut. 366-375 [doi]
- Using an Ensemble of Classifiers to Audit a Production ClassifierPiero P. Bonissone, Neil Eklund, Kai Goebel. 376-386 [doi]
- Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition PerformanceSamuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst. 387-396 [doi]
- Combining Audio-Based and Video-Based Shot Classification Systems for News Videos SegmentationMassimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento. 397-406 [doi]
- Designing Multiple Classifier Systems for Face RecognitionNitesh V. Chawla, Kevin W. Bowyer. 407-416 [doi]
- Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral DataSuju Rajan, Joydeep Ghosh. 417-427 [doi]