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.
Lecture Notes in Computer Science 3541 Springer 2005, ISBN 3-540-26306-3 BibTeX
Future Directions
Boosting
Combination Methods
- R. S. Smith, Terry Windeatt:
Decoding Rules for Error Correcting Output Code Ensembles.
53-63
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- Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang:
A Probability Model for Combining Ranks.
64-73
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- Norman Poh, Samy Bengio:
EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks.
74-85
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- Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard:
Mixture of Gaussian Processes for Combining Multiple Modalities.
86-96
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- Eunju Kim, Jaepil Ko:
Dynamic Classifier Integration Method.
97-107
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- Elizabeth Tapia, Esteban Serra, José Carlos González:
Recursive ECOC for Microarray Data Classification.
108-117
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- Christian Thiel, Friedhelm Schwenker, Günther Palm:
Using Dempster-Shafer Theory in MCF Systems to Reject Samples.
118-127
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- Robin Patenall, David Windridge, Josef Kittler:
Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers.
128-135
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- Pavel Paclík, Thomas Landgrebe, David M. J. Tax, Robert P. W. Duin:
On Deriving the Second-Stage Training Set for Trainable Combiners.
136-146
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- Sergey Tulyakov, Venu Govindaraju:
Using Independence Assumption to Improve Multimodal Biometric Fusion.
147-155
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Design Methods
- Hansheng Lei, Venu Govindaraju:
Half-Against-Half Multi-class Support Vector Machines.
156-164
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- Marina Skurichina, Robert P. W. Duin:
Combining Feature Subsets in Feature Selection.
165-175
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- Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori:
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments.
176-185
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- 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
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- Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
Ensembles of Classifiers from Spatially Disjoint Data.
196-205
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- Thomas Landgrebe, Pavel Paclík, David M. J. Tax, Robert P. W. Duin:
Optimising Two-Stage Recognition Systems.
206-215
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- Lei Chen, Mohamed S. Kamel:
Design of Multiple Classifier Systems for Time Series Data.
216-225
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- Andreas Heß, Rinat Khoussainov, Nicholas Kushmerick:
Ensemble Learning with Biased Classifiers: The Triskel Algorithm.
226-235
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- Hanan Ayad, Mohamed S. Kamel:
Cluster-Based Cumulative Ensembles.
236-245
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- Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak:
Ensemble of SVMs for Incremental Learning.
246-256
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Performance Analysis
- Li-ying Yang, Zheng Qin:
Design of a New Classifier Simulator.
257-266
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- Anand M. Narasimhamurthy:
Evaluation of Diversity Measures for Binary Classifier Ensembles.
267-277
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- Kaibo Duan, S. Sathiya Keerthi:
Which Is the Best Multiclass SVM Method? An Empirical Study.
278-285
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- Matthew Prior, Terry Windeatt:
Over-Fitting in Ensembles of Neural Network Classifiers Within ECOC Frameworks.
286-295
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- Gavin Brown, Jeremy L. Wyatt, Ping Sun:
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function.
296-305
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- Rozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel:
Data Partitioning Evaluation Measures for Classifier Ensembles.
306-315
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- Giorgio Fumera, Fabio Roli, Alessandra Serrau:
Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation.
316-325
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- Michael Muhlbaier, Apostolos Topalis, Robi Polikar:
Ensemble Confidence Estimates Posterior Probability.
326-335
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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
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- 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
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- Julian Fiérrez-Aguilar, Daniel Garcia-Romero, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez:
Speaker Verification Using Adapted User-Dependent Multilevel Fusion.
356-365
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- Hakan Erdogan, Aytal Erçil, Hazim Kemal Ekenel, S. Y. Bilgin, Ibrahim Eden, Meltem Kirisçi, Huseyin Abut:
Multi-modal Person Recognition for Vehicular Applications.
366-375
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- Piero P. Bonissone, Neil Eklund, Kai Goebel:
Using an Ensemble of Classifiers to Audit a Production Classifier.
376-386
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- Samuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst:
Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance.
387-396
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- Massimo De Santo, Gennaro Percannella, Carlo Sansone, Mario Vento:
Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation.
397-406
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- Nitesh V. Chawla, Kevin W. Bowyer:
Designing Multiple Classifier Systems for Face Recognition.
407-416
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- Suju Rajan, Joydeep Ghosh:
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.
417-427
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Copyright © Sat May 16 23:29:21 2009
by Michael Ley (ley@uni-trier.de)
