Ebook: Multiple Classifier Systems: 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings

This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.

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This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.

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This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.
Content:
Front Matter....Pages -
Improving Simple Collaborative Filtering Models Using Ensemble Methods....Pages 1-12
Combining Instance Information to Classify Bags....Pages 13-24
Similarity Weighted Ensembles for Relocating Models of Rare Events....Pages 25-36
Diversity in Classifier Ensembles: Fertile Concept or Dead End?....Pages 37-48
Gender Classification Using Mixture of Experts from Low Resolution Facial Images....Pages 49-60
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains....Pages 61-72
Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis....Pages 73-84
Kalman Filter Based Classifier Fusion for Affective State Recognition....Pages 85-94
Adaptive Ensemble Selection for Face Re-identification under Class Imbalance....Pages 95-108
Self-Organizing Neural Grove and Its Application to Incremental Learning....Pages 109-120
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors....Pages 121-133
Single Classifier Based Multiple Classifications....Pages 134-145
Selective Ensemble of Classifier Chains....Pages 146-156
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples....Pages 157-166
Stable L2-Regularized Ensemble Feature Weighting....Pages 167-178
Selective Clustering Ensemble Based on Covariance....Pages 179-189
Semi-supervised Clustering Ensemble for Web Video Categorization....Pages 190-200
Coding Theory Tools for Improving Recognition Performance in ECOC Systems....Pages 201-211
Can Diversity amongst Learners Improve Online Object Tracking?....Pages 212-223
A New Perspective of Support Vector Clustering with Boundary Patterns....Pages 224-235
Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling....Pages 236-246
Random Oracle Ensembles for Imbalanced Data....Pages 247-258
Towards a Framework for Designing Full Model Selection and Optimization Systems....Pages 259-270
Transfer Learning with Part-Based Ensembles....Pages 271-282
Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification....Pages 283-294
Ensemble of Feature Chains for Anomaly Detection....Pages 295-306
Soft-Voting Clustering Ensemble....Pages 307-318
Randomized Bayesian Network Classifiers....Pages 319-330
A Novel Pattern Rejection Criterion Based on Multiple Classifiers....Pages 331-342
MRF-Based Multiple Classifier System for Hyperspectral Remote Sensing Image Classification....Pages 343-351
A Directed Inference Approach towards Multi-class Multi-model Fusion....Pages 352-363
A New Feature Fusion Approach Based on LBP and Sparse Representation and Its Application to Face Recognition....Pages 364-373
Binary Decision Trees for Melanoma Diagnosis....Pages 374-385
ECOC Matrix Pruning Using Accuracy Information....Pages 386-397
Back Matter....Pages -

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This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.
Content:
Front Matter....Pages -
Improving Simple Collaborative Filtering Models Using Ensemble Methods....Pages 1-12
Combining Instance Information to Classify Bags....Pages 13-24
Similarity Weighted Ensembles for Relocating Models of Rare Events....Pages 25-36
Diversity in Classifier Ensembles: Fertile Concept or Dead End?....Pages 37-48
Gender Classification Using Mixture of Experts from Low Resolution Facial Images....Pages 49-60
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains....Pages 61-72
Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis....Pages 73-84
Kalman Filter Based Classifier Fusion for Affective State Recognition....Pages 85-94
Adaptive Ensemble Selection for Face Re-identification under Class Imbalance....Pages 95-108
Self-Organizing Neural Grove and Its Application to Incremental Learning....Pages 109-120
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors....Pages 121-133
Single Classifier Based Multiple Classifications....Pages 134-145
Selective Ensemble of Classifier Chains....Pages 146-156
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples....Pages 157-166
Stable L2-Regularized Ensemble Feature Weighting....Pages 167-178
Selective Clustering Ensemble Based on Covariance....Pages 179-189
Semi-supervised Clustering Ensemble for Web Video Categorization....Pages 190-200
Coding Theory Tools for Improving Recognition Performance in ECOC Systems....Pages 201-211
Can Diversity amongst Learners Improve Online Object Tracking?....Pages 212-223
A New Perspective of Support Vector Clustering with Boundary Patterns....Pages 224-235
Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling....Pages 236-246
Random Oracle Ensembles for Imbalanced Data....Pages 247-258
Towards a Framework for Designing Full Model Selection and Optimization Systems....Pages 259-270
Transfer Learning with Part-Based Ensembles....Pages 271-282
Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification....Pages 283-294
Ensemble of Feature Chains for Anomaly Detection....Pages 295-306
Soft-Voting Clustering Ensemble....Pages 307-318
Randomized Bayesian Network Classifiers....Pages 319-330
A Novel Pattern Rejection Criterion Based on Multiple Classifiers....Pages 331-342
MRF-Based Multiple Classifier System for Hyperspectral Remote Sensing Image Classification....Pages 343-351
A Directed Inference Approach towards Multi-class Multi-model Fusion....Pages 352-363
A New Feature Fusion Approach Based on LBP and Sparse Representation and Its Application to Face Recognition....Pages 364-373
Binary Decision Trees for Melanoma Diagnosis....Pages 374-385
ECOC Matrix Pruning Using Accuracy Information....Pages 386-397
Back Matter....Pages -
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