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ORCID5. MCS 2004: Cagliari, Italy
- Fabio Roli, Josef Kittler, Terry Windeatt:
Multiple Classifier Systems, 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings. Lecture Notes in Computer Science 3077, Springer 2004, ISBN 3-540-22144-1
Invited Papers
- Ludmila I. Kuncheva
:
Classifier Ensembles for Changing Environments. 1-15 - Nageswara S. V. Rao:
A Generic Sensor Fusion Problem: Classification and Function Estimation. 16-30
Bagging and Boosting
- Nikunj C. Oza:
AveBoost2: Boosting for Noisy Data. 31-40 - Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
Bagging Decision Multi-trees. 41-51 - Michael Muhlbaier, Apostolos Topalis, Robi Polikar:
Learn++.MT: A New Approach to Incremental Learning. 52-61 - Elizabeth Tapia, José Carlos González, Alexander Hüntemann, L. Javier García-Villalba:
Beyond Boosting: Recursive ECOC Learning Machines. 62-71 - Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman:
Exact Bagging with k-Nearest Neighbour Classifiers. 72-81
Combination Methods
- Marco Saerens, François Fouss:
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. 82-91 - Piotr Juszczak, Robert P. W. Duin:
Combining One-Class Classifiers to Classify Missing Data. 92-101 - Isaac Martín de Diego, Javier M. Moguerza, Alberto Muñoz:
Combining Kernel Information for Support Vector Classification. 102-111 - Hee-Joong Kang:
Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate. 112-121 - Elzbieta Pekalska, Marina Skurichina, Robert P. W. Duin:
Combining Dissimilarity-Based One-Class Classifiers. 122-133 - Lei Chen, Mohamed Kamel, Ju Jiang:
A Modular System for the Classification of Time Series Data. 134-143 - Hanan Ayad, Otman A. Basir, Mohamed Kamel:
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles. 144-153 - Piero P. Bonissone, Kai Goebel, Weizhong Yan:
Classifier Fusion Using Triangular Norms. 154-163 - Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal:
Dynamic Integration of Regression Models. 164-173 - Luca Didaci, Giorgio Giacinto:
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule. 174-183
Design Methods
- Terry Windeatt:
Spectral Measure for Multi-class Problems. 184-193 - David Windridge, Robin Patenall, Josef Kittler:
The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation. 194-203 - Claudio Marrocco, Francesco Tortorella:
A Method for Designing Cost-Sensitive ECOC. 204-213 - Adam Schenker, Horst Bunke, Mark Last, Abraham Kandel:
Building Graph-Based Classifier Ensembles by Random Node Selection. 214-222 - Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich:
A Comparison of Ensemble Creation Techniques. 223-232 - Sarunas Raudys, Masakazu Iwamura:
Multiple Classifiers System for Reducing Influences of Atypical Observations. 233-242 - Rozita A. Dara, Mohamed S. Kamel:
Sharing Training Patterns among Multiple Classifiers. 243-252
Performance Analysis
- Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra:
First Experiments on Ensembles of Radial Basis Functions. 253-262 - Giorgio Valentini:
Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias?Variance Analysis. 263-272 - Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi:
Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers. 273-282 - Suju Rajan, Joydeep Ghosh:
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. 283-292 - Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney:
Experiments on Ensembles with Missing and Noisy Data. 293-302
Applications
- David Windridge, Richard Bowden:
Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign. 303-313 - Simon Günter, Horst Bunke:
Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition. 314-323 - Luigi P. Cordella, Alessandro Limongiello, Carlo Sansone:
Network Intrusion Detection by a Multi-stage Classification System. 324-333 - Vladimir Svetnik, Andy Liaw, Christopher Tong, Ting Wang:
Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules. 334-343 - Xiaogang Wang, Xiaoou Tang:
Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification. 344-353 - Josef Kittler, Mohammad Sadeghi:
Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification. 354-363 - Gian Luca Marcialis, Fabio Roli:
High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers. 364-373 - Fuad Rahman, Yuliya Tarnikova, Aman Kumar, Hassan Alam:
Second Guessing a Commercial 'Black Box' Classifier by an 'In House' Classifier: Serial Classifier Combination in a Speech Recognition Application. 374-383
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