Multiple Classifier Systems - Semantic Scholar
Michal Haindl Josef Kittler Fabio Roli (Eds.)
Multiple Classifier Systems 7th International Workshop, MCS 2007 Prague, Czech Republic, May 23-25, 2007 Proceedings
Springer
Table of Contents
Kernel-Based Fusion Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, and Oleg Seredin The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition David Windridge, Vadim Mottl, Alexander Tatarchuk, and Andrey Eliseyev
1
13
Kernel Combination Versus Classifier Combination Wan-Jui Lee, Sergey Verzakov, and Robert P. W. Duin
22
Deriving the Kernel from Training Data Stefano Merler, Giuseppe Jurman, and Cesare Furlanello
32
Applications On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data Kai Lienemann, Thomas Plötz, and Gernot A. Fink
42
A New HMM-Based Ensemble Generation Method for Numeral Recognition Albert Hung-Ren Ko, Robert Sabourin, and Alceu de Souza Britto Jr.
52
Classifiers Fusion in Recognition of Wheat Varieties Sarunas Raudys, Omer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, and Antanas Andrius Bielskis Multiple Classifier Methods for Offline Handwritten Text Line Recognition Roman Bertolami and Horst Bunke Applying Data Fusion Methods to Passage Retrieval in QAS Hans Ulrich Christensen and Daniel Ortiz-Arroyo A Co-training Approach for Time Series Prediction with Missing Data Tawfik A. Mohamed, Neamat El Gayar, and Amir F. Atiya An Improved Random Subspace Method and Its Application to EEG Signal Classification Shiliang Sun
62
72 82
93
103
VIII
Table of Contents
Ensemble Learning Methods for Classifying EEG Signals Shiliang Sun
113
Confidence Based Gating of Colour Features for Face Authentication . . . Mohammad T. Sadeghi, Samaneh Khoshrou, and Josef Kittler
121
View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition Reza Ebrahimpour, Ehsanollah Kabir, and Mohammad Reza Yousefi Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification Angel Serrano, Isaac Martin de Diego, Cristina Conde, Enrique Cabello, Li Bai, and Liniin Shen Serial Fusion of Fingerprint and Face Matchers Gian Luca Marcialis and Fabio Roli
131
141
151
Boosting Boosting Lite - Handling Larger Datasets and Slower Base Classifiers Lawrence 0. Hall, Robert E. Banfield, Kevin W. Bowyer, and W. Philip Kegelmeyer Information Theoretic Combination of Classifiers with Application to AdaBoost Julien Meynet and Jean-Philippe Thiran Interactive Boosting for Image Classification Yijuan Lu, Qi Tian, and Thomas S. Huang
161
171 180
Cluster and Graph Ensembles Group-Induced Vector Spaces Manuele Bicego, Elzbieta Pekalska, and Robert P. W. Duin
190
Selecting Diversifying Heuristics for Cluster Ensembles Stefan T. Hadjitodorov and Ludmila I. Kuncheva
200
Unsupervised Texture Segmentation Using Multiple Segmenters Strategy Michal Haindl and Stanislav Mikes
210
Classifier Ensembles for Vector Space Embedding of Graphs Kaspar Riesen and Horst Bunke
220
Cascading for Nominal Data Jesus Maudes, Juan J. Rodriguez, and Cesar Garcia-Osorio
231
Table of Contents
IX
Feature Subspace Ensembles A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers Mineichi Kudo, Satoshi Shirai, and Hiroshi Tenmoto
241
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features Joseph DePasquale and Robi Polikar
251
Feature Subspace Ensembles: A Parallel Classifier Combination Scheine Using Feature Selection Hugo Silva and Ana Fred
261
Stopping Criteria for Ensemble-Based Feature Selection Terry Windeatt and Matthew Prior
271
Multiple Classifier System Theory On Rejecting Unreliably Classified Patterns Pasquale Foggia, Gennaro Percannella, Carlo Sansone, and Mario Vento
282
Bayesian Analysis of Linear Combiners Battista Biggio, Giorgio Fumera, and Fabio Roli
292
Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination Albert Hung-Ren Ko, Robert Sabourin, and Alceu de Souza Britto Jr.
302
Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks Samuel Chindaro, Konstantinos Sirlantzis, and Michael Fairhurst
312
Classifier Combining Rules Under Independence Assumptions Shoushan Li and Chengqing Zong
322
Embedding Reject Option in ECOC Through LDPC Codes Claudio Marrocco, Paolo Simeone, and Francesco Tortorella
333
Intramodal and Multimodal Fusion of Biometrie Experts On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers Norman Poh, Guillaume Heusch, and Josef Kittler
344
Index Driven Combination of Multiple Biometrie Experts for AUC Maximisation Roberto Tronci, Giorgio Giacinto, and Fabio Roli
357
X
Table of Contents
Q — stack: Uni- and Multimodal Classifier Stacking with Quality Measures Krzysztof Kryszczuk and Andrzej Drygajlo
367
Reliability-Based Voting Scheines Using Modality-Independent Features in Multi-classifier Biometrie Authentication Jonas Richiardi and Andrzej Drygajlo
377
Optimal Classifier Combination Rules for Verification and Identification Systems Sergey Tulyakov, Venu Govindaraju, and Chaohong Wu
387
Majority Voting Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets Nitesh V. Chawla and Jared Sylvester
397
On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles Yun-Sheng Chung, D. Frank Hsu, and Chuan Yi Tang
407
Hierarchical Behavior Knowledge Space Hubert Cecotti and Abdel Belai'd
421
Ensemble Learning A New Dynamic Ensemble Selection Method for Numeral Recognition Albert Hung-Ren Ko, Robert Sabourin, and Alceu de Souza Britto Jr.
431
Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation Manuela Zanda, Gavin Brown, Giorgio Fumera, and Fabio Roli
440
Naive Bayes Ensembles with a Random Oracle Juan J. Rodriguez and Ludmila I. Kuncheva
450
An Experimental Study on Rotation Forest Ensembles Ludmila I. Kuncheva and Juan J. Rodriguez
459
Cooperative Coevolutionary Ensemble Learning Daniel Kanevskiy and Konstantin Vorontsov
469
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data Omer Berkman and Nathan Intrator
479
An Ensemble Approach for Incremental Learning in Nonstationary Environments Michael D. Muhlbaier and Robi Polikar
490
Table of Contents
XI
Invited Papers Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments Jon Atli Benediktsson, Jocelyn Chanussot, and Mathieu Fauvel
501
Biometrie Person Authentication Is a Multiple Classifier Problem Samy Bengio and Johnny Mariethoz
513
Author Index
523
Multiple Classifier Systems 7th International Workshop, MCS 2007 Prague, Czech Republic, May 23-25, 2007 Proceedings
Springer
Table of Contents
Kernel-Based Fusion Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, and Oleg Seredin The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition David Windridge, Vadim Mottl, Alexander Tatarchuk, and Andrey Eliseyev
1
13
Kernel Combination Versus Classifier Combination Wan-Jui Lee, Sergey Verzakov, and Robert P. W. Duin
22
Deriving the Kernel from Training Data Stefano Merler, Giuseppe Jurman, and Cesare Furlanello
32
Applications On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data Kai Lienemann, Thomas Plötz, and Gernot A. Fink
42
A New HMM-Based Ensemble Generation Method for Numeral Recognition Albert Hung-Ren Ko, Robert Sabourin, and Alceu de Souza Britto Jr.
52
Classifiers Fusion in Recognition of Wheat Varieties Sarunas Raudys, Omer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, and Antanas Andrius Bielskis Multiple Classifier Methods for Offline Handwritten Text Line Recognition Roman Bertolami and Horst Bunke Applying Data Fusion Methods to Passage Retrieval in QAS Hans Ulrich Christensen and Daniel Ortiz-Arroyo A Co-training Approach for Time Series Prediction with Missing Data Tawfik A. Mohamed, Neamat El Gayar, and Amir F. Atiya An Improved Random Subspace Method and Its Application to EEG Signal Classification Shiliang Sun
62
72 82
93
103
VIII
Table of Contents
Ensemble Learning Methods for Classifying EEG Signals Shiliang Sun
113
Confidence Based Gating of Colour Features for Face Authentication . . . Mohammad T. Sadeghi, Samaneh Khoshrou, and Josef Kittler
121
View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition Reza Ebrahimpour, Ehsanollah Kabir, and Mohammad Reza Yousefi Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification Angel Serrano, Isaac Martin de Diego, Cristina Conde, Enrique Cabello, Li Bai, and Liniin Shen Serial Fusion of Fingerprint and Face Matchers Gian Luca Marcialis and Fabio Roli
131
141
151
Boosting Boosting Lite - Handling Larger Datasets and Slower Base Classifiers Lawrence 0. Hall, Robert E. Banfield, Kevin W. Bowyer, and W. Philip Kegelmeyer Information Theoretic Combination of Classifiers with Application to AdaBoost Julien Meynet and Jean-Philippe Thiran Interactive Boosting for Image Classification Yijuan Lu, Qi Tian, and Thomas S. Huang
161
171 180
Cluster and Graph Ensembles Group-Induced Vector Spaces Manuele Bicego, Elzbieta Pekalska, and Robert P. W. Duin
190
Selecting Diversifying Heuristics for Cluster Ensembles Stefan T. Hadjitodorov and Ludmila I. Kuncheva
200
Unsupervised Texture Segmentation Using Multiple Segmenters Strategy Michal Haindl and Stanislav Mikes
210
Classifier Ensembles for Vector Space Embedding of Graphs Kaspar Riesen and Horst Bunke
220
Cascading for Nominal Data Jesus Maudes, Juan J. Rodriguez, and Cesar Garcia-Osorio
231
Table of Contents
IX
Feature Subspace Ensembles A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers Mineichi Kudo, Satoshi Shirai, and Hiroshi Tenmoto
241
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features Joseph DePasquale and Robi Polikar
251
Feature Subspace Ensembles: A Parallel Classifier Combination Scheine Using Feature Selection Hugo Silva and Ana Fred
261
Stopping Criteria for Ensemble-Based Feature Selection Terry Windeatt and Matthew Prior
271
Multiple Classifier System Theory On Rejecting Unreliably Classified Patterns Pasquale Foggia, Gennaro Percannella, Carlo Sansone, and Mario Vento
282
Bayesian Analysis of Linear Combiners Battista Biggio, Giorgio Fumera, and Fabio Roli
292
Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination Albert Hung-Ren Ko, Robert Sabourin, and Alceu de Souza Britto Jr.
302
Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks Samuel Chindaro, Konstantinos Sirlantzis, and Michael Fairhurst
312
Classifier Combining Rules Under Independence Assumptions Shoushan Li and Chengqing Zong
322
Embedding Reject Option in ECOC Through LDPC Codes Claudio Marrocco, Paolo Simeone, and Francesco Tortorella
333
Intramodal and Multimodal Fusion of Biometrie Experts On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers Norman Poh, Guillaume Heusch, and Josef Kittler
344
Index Driven Combination of Multiple Biometrie Experts for AUC Maximisation Roberto Tronci, Giorgio Giacinto, and Fabio Roli
357
X
Table of Contents
Q — stack: Uni- and Multimodal Classifier Stacking with Quality Measures Krzysztof Kryszczuk and Andrzej Drygajlo
367
Reliability-Based Voting Scheines Using Modality-Independent Features in Multi-classifier Biometrie Authentication Jonas Richiardi and Andrzej Drygajlo
377
Optimal Classifier Combination Rules for Verification and Identification Systems Sergey Tulyakov, Venu Govindaraju, and Chaohong Wu
387
Majority Voting Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets Nitesh V. Chawla and Jared Sylvester
397
On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles Yun-Sheng Chung, D. Frank Hsu, and Chuan Yi Tang
407
Hierarchical Behavior Knowledge Space Hubert Cecotti and Abdel Belai'd
421
Ensemble Learning A New Dynamic Ensemble Selection Method for Numeral Recognition Albert Hung-Ren Ko, Robert Sabourin, and Alceu de Souza Britto Jr.
431
Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation Manuela Zanda, Gavin Brown, Giorgio Fumera, and Fabio Roli
440
Naive Bayes Ensembles with a Random Oracle Juan J. Rodriguez and Ludmila I. Kuncheva
450
An Experimental Study on Rotation Forest Ensembles Ludmila I. Kuncheva and Juan J. Rodriguez
459
Cooperative Coevolutionary Ensemble Learning Daniel Kanevskiy and Konstantin Vorontsov
469
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data Omer Berkman and Nathan Intrator
479
An Ensemble Approach for Incremental Learning in Nonstationary Environments Michael D. Muhlbaier and Robi Polikar
490
Table of Contents
XI
Invited Papers Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments Jon Atli Benediktsson, Jocelyn Chanussot, and Mathieu Fauvel
501
Biometrie Person Authentication Is a Multiple Classifier Problem Samy Bengio and Johnny Mariethoz
513
Author Index
523
