7. MCS 2007:
Prague,
Czech Republic
Michal Haindl, Josef Kittler, Fabio Roli (Eds.):
Multiple Classifier Systems, 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings.
Lecture Notes in Computer Science 4472 Springer 2007, ISBN 978-3-540-72481-0 BibTeX
Kernel-Based Fusion
- Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin:
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion.
1-12
Electronic Edition (link) BibTeX
- David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev:
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition.
13-21
Electronic Edition (link) BibTeX
- Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin:
Kernel Combination Versus Classifier Combination.
22-31
Electronic Edition (link) BibTeX
- Stefano Merler, Giuseppe Jurman, Cesare Furlanello:
Deriving the Kernel from Training Data.
32-41
Electronic Edition (link) BibTeX
Applications
- Kai Lienemann, Thomas Plötz, Gernot A. Fink:
On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data.
42-51
Electronic Edition (link) BibTeX
- Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.:
A New HMM-Based Ensemble Generation Method for Numeral Recognition.
52-61
Electronic Edition (link) BibTeX
- Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis:
Classifiers Fusion in Recognition of Wheat Varieties.
62-71
Electronic Edition (link) BibTeX
- Roman Bertolami, Horst Bunke:
Multiple Classifier Methods for Offline Handwritten Text Line Recognition.
72-81
Electronic Edition (link) BibTeX
- Hans Ulrich Christensen, Daniel Ortiz Arroyo:
Applying Data Fusion Methods to Passage Retrieval in QAS.
82-92
Electronic Edition (link) BibTeX
- Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya:
A Co-training Approach for Time Series Prediction with Missing Data.
93-102
Electronic Edition (link) BibTeX
- Shiliang Sun:
An Improved Random Subspace Method and Its Application to EEG Signal Classification.
103-112
Electronic Edition (link) BibTeX
- Shiliang Sun:
Ensemble Learning Methods for Classifying EEG Signals.
113-120
Electronic Edition (link) BibTeX
- Mohammad Sadeghi, Samaneh Khoshrou, Josef Kittler:
Confidence Based Gating of Colour Features for Face Authentication.
121-130
Electronic Edition (link) BibTeX
- Reza Ebrahimpour, Ehsanollah Kabir, Mohammad Reza Yousefi:
View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition.
131-140
Electronic Edition (link) BibTeX
- Ángel Serrano, Isaac Martín de Diego, Cristina Conde, Enrique Cabello, Li Bai, LinLin Shen:
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification.
141-150
Electronic Edition (link) BibTeX
- Gian Luca Marcialis, Fabio Roli:
Serial Fusion of Fingerprint and Face Matchers.
151-160
Electronic Edition (link) BibTeX
Boosting
Cluster and Graph Ensembles
Feature Subspace Ensembles
Multiple Classifier System Theory
- Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento:
On Rejecting Unreliably Classified Patterns.
282-291
Electronic Edition (link) BibTeX
- Battista Biggio, Giorgio Fumera, Fabio Roli:
Bayesian Analysis of Linear Combiners.
292-301
Electronic Edition (link) BibTeX
- Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.:
Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination.
302-311
Electronic Edition (link) BibTeX
- Samuel Chindaro, Konstantinos Sirlantzis, Michael C. Fairhurst:
Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks.
312-321
Electronic Edition (link) BibTeX
- Shoushan Li, Chengqing Zong:
Classifier Combining Rules Under Independence Assumptions.
322-332
Electronic Edition (link) BibTeX
- Claudio Marrocco, Paolo Simeone, Francesco Tortorella:
Embedding Reject Option in ECOC Through LDPC Codes.
333-343
Electronic Edition (link) BibTeX
Intramodal and Multimodal Fusion of Biometric Experts
Majority Voting
Ensemble Learning
- Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.:
A New Dynamic Ensemble Selection Method for Numeral Recognition.
431-439
Electronic Edition (link) BibTeX
- Manuela Zanda, Gavin Brown, Giorgio Fumera, Fabio Roli:
Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation.
440-449
Electronic Edition (link) BibTeX
- Juan José Rodríguez, Ludmila I. Kuncheva:
Naïve Bayes Ensembles with a Random Oracle.
450-458
Electronic Edition (link) BibTeX
- Ludmila I. Kuncheva, Juan José Rodríguez:
An Experimental Study on Rotation Forest Ensembles.
459-468
Electronic Edition (link) BibTeX
- Daniel Kanevskiy, Konstantin Vorontsov:
Cooperative Coevolutionary Ensemble Learning.
469-478
Electronic Edition (link) BibTeX
- Omer Berkman, Nathan Intrator:
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data.
479-489
Electronic Edition (link) BibTeX
- Michael Muhlbaier, Robi Polikar:
An Ensemble Approach for Incremental Learning in Nonstationary Environments.
490-500
Electronic Edition (link) BibTeX
Invited Papers
Copyright © Sat May 16 23:29:22 2009
by Michael Ley (ley@uni-trier.de)
