Workshop Programme
Wednesday 23 May, 2007
9:00–9:10 Opening
9:10–10:30 Kernel-Based Fusion
Combining Pattern Recognition Modalities at the Sensor Level via Kernel Fusion
Vadim Mottl, Alexander Tatarchuk, Oleg Seredin, Olga Krasotkina, Valentina Sulimova
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-Modal Pattern Recognition
David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev
Kernel Combination Versus Classifier Combination
Wan-Jui Lee, Sergey Verzakov, Robert P.W. Duin
Deriving the Kernel from Training Data
Stefano Merler, Giuseppe Jurman, Cesare Furlanello
10:30–11:00 Coffee
11:00–12:00 Invited Talk
Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments
Jon Atli Benediktsson
12:00–12:40 Boosting
Boosting Lite - Handling Larger Datasets and Slower Base Classifiers
Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer
Information Theoretic Combination of Classifiers with Application to AdaBoost
Julien Meynet, Jean-Philippe Thiran
12:40–13:40 Lunch
13:40–15:20 Cluster and Graph Ensembles
Group-induced Vector Spaces
Manuele Bicego, Elzbieta Pekalska, Robert P.W. Duin
Selecting Diversifying Heuristics for Cluster Ensembles
Stefan T. Hadjitodorov, Ludmila I. Kuncheva
Unsupervised Texture Segmentation Using Multiple Segmenters Strategy
Michal Haindl, Stanislav Mikes
Classifier Ensembles for Vector Space Embedding of Graphs
Kaspar Riesen, Horst Bunke
Cascading for Nominal Data
Jesus Maudes, Juan J. Rodriguez, Cesar Garcia-Osorio
15:20–15:40 Coffee
15:40–16:40 Applications (Highlights)
On the Application of SVM-Ensembles based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data
Kai Lienemann, Thomas Plotz, Gernot A. Fink
A New HMM-Based Ensemble Generation Method for Numeral Recognition
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
Classifiers Fusion in Recognition of Wheat Varieties
Sarunas Raudys, Omer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis
Multiple Classifier Methods for Offline Handwritten Text Line Recognition
Roman Bertolami, Horst Bunke
Applying Data Fusion Methods to Passage Retrieval in QAS
Hans Ulrich Christensen, Daniel Ortiz-Arroyo
A Co-training Approach for Time Series Prediction with Missing Data
Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya
An Improved Random Subspace Method and Its Application to EEG Signal Classification
Shiliang Sun
Ensemble Learning Methods for Classifying EEG Signals
Shiliang Sun
Confidence Based Gating of Colour Features for Face Authentication
Mohammad T. Sadeghi, Samaneh Khoshrou, Josef Kittler
View-based Eigenspaces with Mixture of Experts for View-independent Face Recognition
Reza Ebrahimpour, Ehsanollah Kabir, 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, Linlin Shen
Serial fusion of fingerprint and face matchers
Gian Luca Marcialis, Fabio Roli
16:40–18:00 Poster Session (Applications)
18:00 Welcome Reception
Thursday 24 May, 2007
9:00–10:40 Feature Subspace Ensembles
A Combination of Sample Subsets and Feature Subsets in One-against-Other Classifiers
Mineichi Kudo, Satoshi Shirai, Hiroshi Tenmoto
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Joseph DePasquale, Robi Polikar
Feature Subspace Ensembles: A Parallel Classifier Combination Scheme using Feature Selection
Hugo Silva, Ana Fred
Stopping Criteria for Ensemble-based Feature Selection
Terry Windeatt, Matthew Prior
10:40–11:00 Coffee
11:00–13:00 Multiple Classifier System Theory
On Rejecting Unreliably Classified Patterns
Pasquale Foggia, Gennaro Percannel la, Carlo Sansone, Mario Vento
Bayesian Analysis of Linear Combiners
Battista Biggio, Giorgio Fumera, Fabio Roli
Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
Modelling Multiple-Classifier Relationships using Bayesian Belief Networks
Samuel Chindaro, Konstantinos Sirlantzis, Michael Fairhurst
Classifier Combining Rules under Independence Assumptions
Shoushan Li, Chengqing Zong
Embedding Reject Option in ECOC through LDPC Codes
Claudio Marrocco, Paolo Simeone, Francesco Tortorella
13:00–14:00 Lunch
14:00–15:00 Invited Talk
Biometric Person Authentication IS a Multiple Classifier Problem
Samy Bengio
15:00–15:30 Coffee
15:30–17:10 Intramodal and Multimodal Fusion of Biometric Experts
15:30–17:10 Intramodal and Multimodal Fusion of Biometric Experts On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers
Norman Poh, Guil laume Heusch, Josef Kittler
Index Driven Combination of Multiple Biometric Experts for AUC Maximisation
Roberto Tronci, Giorgio Giacinto, Fabio Roli
Q-stack: Uni- and Multimodal Classifier Stacking with Quality Measures
Krzysztof Kryszczuk, Andrzej Drygajlo
Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-Classifier Biometric Authentication
Jonas Richiardi, Andrzej Drygajlo
Optimal Classifier Combination Rules for Verification and Identification Systems
Sergey Tulyakov, Venu Govindaraju, Chaohong Wu
18:00 Workshop Dinner
Friday 25 May, 2007
9:00–10:00 Invited Talk
Classification in Sensor Networks
Pramod Varshney
10:00–11:00 Majority Voting
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
Nitesh V. Chawla, Jared Sylvester
On the Diversity-Performance Relationship for Ma jority Voting in Classifier Ensembles
Yun-Sheng Chung, D. Frank Hsu, Chuan Yi Tang
Hierarchical Behavior Knowledge Space
Hubert Cecotti, Abdel Belaid
11:00–11:30 Coffee
11:30–13:00 Multiple Classifier Systems, 10 years on: are we any wiser?
13:00–14:00 Lunch
14:00–16:50 Ensemble Learning (including coffee break)
A New Dynamic Ensemble Selection Method for Numeral Recognition
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
Ensemble Learning in Linearly Combined Classifiers via Negative Correlation
Manuela Zanda, Gavin Brown, Giorgio Fumera, Fabio Roli
Naive Bayes Ensembles with a Random Oracle
Juan J. Rodriguez, Ludmila I. Kuncheva
An Experimental Study on Rotation Forest Ensembles
Ludmila I. Kuncheva, Juan J. Rodriguez
Cooperative Coevolutionary Ensemble Learning
Daniel Kanevskiy, Konstantin Vorontsov
Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data
Omer Berkman, Nathan Intrator
An Ensemble Approach for Incremental Learning in Nonstationary Environments
Michael D. Muhlbaier, Robi Polikar