6. MCS 2005: Seaside, CA, USA
Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli (Eds.): Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings. Springer 2005 Lecture Notes in Computer Science ISBN 3-540-26306-3
Future Directions
- Fabio Roli: Semi-supervised Multiple Classifier Systems: Background and Research Directions. 1-11
Boosting
- Kenji Nishida, Takio Kurita: Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection. 22-31
- Qi Tian, Jie Yu, Thomas S. Huang: Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis. 42-52
Combination Methods
- Norman Poh, Samy Bengio: EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks. 74-85
- Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard: Mixture of Gaussian Processes for Combining Multiple Modalities. 86-96
- Elizabeth Tapia, Esteban Serra, José Carlos González: Recursive ECOC for Microarray Data Classification. 108-117
- Christian Thiel, Friedhelm Schwenker, Günther Palm: Using Dempster-Shafer Theory in MCF Systems to Reject Samples. 118-127
- Robin Patenall, David Windridge, Josef Kittler: Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers. 128-135
- Pavel Paclík, Thomas Landgrebe, David M. J. Tax, Robert P. W. Duin: On Deriving the Second-Stage Training Set for Trainable Combiners. 136-146
- Sergey Tulyakov, Venu Govindaraju: Using Independence Assumption to Improve Multimodal Biometric Fusion. 147-155
Design Methods
- Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori: ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. 176-185
- Mordechai Gal-Or, Jerrold H. May, William E. Spangler: Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models. 186-195
- Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Ensembles of Classifiers from Spatially Disjoint Data. 196-205
- Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin: Optimising Two-Stage Recognition Systems. 206-215
- Andreas Heß, Rinat Khoussainov, Nicholas Kushmerick: Ensemble Learning with Biased Classifiers: The Triskel Algorithm. 226-235
- Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak: Ensemble of SVMs for Incremental Learning. 246-256
Performance Analysis
- Anand M. Narasimhamurthy: Evaluation of Diversity Measures for Binary Classifier Ensembles. 267-277
- Kaibo Duan, S. Sathiya Keerthi: Which Is the Best Multiclass SVM Method? An Empirical Study. 278-285
- Matthew Prior, Terry Windeatt: Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC Frameworks. 286-295
- Gavin Brown, Jeremy L. Wyatt, Ping Sun: Between Two Extremes: Examining Decompositions of the Ensemble Objective Function. 296-305
- Rozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel: Data Partitioning Evaluation Measures for Classifier Ensembles. 306-315
- Giorgio Fumera, Fabio Roli, Alessandra Serrau: Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation. 316-325
- Michael Muhlbaier, Apostolos Topalis, Robi Polikar: Ensemble Confidence Estimates Posterior Probability. 326-335
Applications
- Erinija Pranckeviciene, Richard Baumgartner, Ray L. Somorjai: Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra. 336-345
- Peng Li, Kap Luk Chan, Sheng Fu, Shankar Muthu Krishnan: An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble. 346-355
- Julian Fiérrez-Aguilar, Daniel Garcia-Romero, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez: Speaker Verification Using Adapted User-Dependent Multilevel Fusion. 356-365
- Hakan Erdogan, Aytül Erçil, Hazim Kemal Ekenel, S. Y. Bilgin, Ibrahim Eden, Meltem Kirisçi, Huseyin Abut: Multi-modal Person Recognition for Vehicular Applications. 366-375
- Piero P. Bonissone, Neil H. W. Eklund, Kai Goebel: Using an Ensemble of Classifiers to Audit a Production Classifier. 376-386
- Samuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst: Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance. 387-396
- Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento: Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation. 397-406
- Nitesh V. Chawla, Kevin W. Bowyer: Designing Multiple Classifier Systems for Face Recognition. 407-416
- Suju Rajan, Joydeep Ghosh: Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. 417-427
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last updated on 2013-06-19T203413 by the dblp team