This book constitutes the proceedings of the 9th International Workshop on Multiple Classifier Systems, MCS 2010, held in Cairo, Egypt, in April 2010. The 31 papers presented were carefully reviewed and selected from 50 submissions. The contributions are organized into sessions dealing with classifier combination and classifier selection, diversity, bagging and boosting, combination of multiple kernels, and applications.
Author(s): Santi Seguí, Laura Igual, Jordi Vitrià (auth.), Neamat El Gayar, Josef Kittler, Fabio Roli (eds.)
Series: Lecture Notes in Computer Science 5997 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 328
Tags: Information Systems Applications (incl.Internet); Pattern Recognition; Algorithm Analysis and Problem Complexity; Computation by Abstract Devices; Database Management; Data Mining and Knowledge Discovery
Front Matter....Pages -
Weighted Bagging for Graph Based One-Class Classifiers....Pages 1-10
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers....Pages 11-21
New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization....Pages 22-32
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC....Pages 33-42
Tomographic Considerations in Ensemble Bias/Variance Decomposition....Pages 43-53
Choosing Parameters for Random Subspace Ensembles for fMRI Classification....Pages 54-63
An Experimental Study on Ensembles of Functional Trees....Pages 64-73
Multiple Classifier Systems under Attack....Pages 74-83
SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning....Pages 84-93
Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach....Pages 94-103
A Double Pruning Algorithm for Classification Ensembles....Pages 104-113
Estimation of the Number of Clusters Using Multiple Clustering Validity Indices....Pages 114-123
“Good” and “Bad” Diversity in Majority Vote Ensembles....Pages 124-133
Multi-information Ensemble Diversity....Pages 134-144
Dynamic Selection of Ensembles of Classifiers Using Contextual Information....Pages 145-154
Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems....Pages 155-164
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities....Pages 165-174
Combining Multiple Kernels by Augmenting the Kernel Matrix....Pages 175-184
Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles....Pages 185-194
Boosted Geometry-Based Ensembles....Pages 195-204
Online Non-stationary Boosting....Pages 205-214
Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting....Pages 215-224
Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition....Pages 225-234
Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition....Pages 235-244
Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting....Pages 245-253
A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVM....Pages 254-263
A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation....Pages 264-273
A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression....Pages 274-283
Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells....Pages 284-293
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction....Pages 294-303
Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network....Pages 304-313
Some Thoughts at the Interface of Ensemble Methods and Feature Selection....Pages 314-314
Multiple Classifier Systems for the Recogonition of Human Emotions....Pages 315-324
Erratum....Pages 325-325
Back Matter....Pages -
