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 addre...

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Bibliographic Details
Corporate Authors: MCS (Workshop) Nanjing, China); SpringerLink (Online service)
Group Author: Zhou, Zhi-Hua; Roli, Fabio, 1962-; Kittler, Josef, 1946-
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Lecture notes in computer science, 7872
LNCS sublibrary. SL 6, Image proceesing, computer vision, pattern recognition, and graphics
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-38067-9
Summary: 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.
Carrier Form: 1 online resource (xi, 400 p.) : ill.
Bibliography: Includes bibliographical references and author index.
ISBN: 9783642380679 (electronic bk.)
3642380670 (electronic bk.)
Index Number: QA76
CLC: TP311.13-532
Contents: Improving Simple Collaborative Filtering Models Using Ensemble Methods /
Combining Instance Information to Classify Bags /
Similarity Weighted Ensembles for Relocating Models of Rare Events /
Diversity in Classifier Ensembles: Fertile Concept or Dead End? /
Gender Classification Using Mixture of Experts from Low Resolution Facial Images /
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains /
Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis /
Kalman Filter Based Classifier Fusion for Affective State Recognition /
Adaptive Ensemble Selection for Face Re-identification under Class Imbalance /
Self-Organizing Neural Grove and Its Application to Incremental Learning /
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors /
Single Classifier Based Multiple Classifications /
Selective Ensemble of Classifier Chains /
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples /
Stable L2-Regularized Ensemble Feature Weighting /
Selective Clustering Ensemble Based on Covariance /
Semi-supervised Clustering Ensemble for Web Video Categorization /
Coding Theory Tools for Improving Recognition Performance in ECOC Systems /
Can Diversity amongst Learners Improve Online Object Tracking? /
A New Perspective of Support Vector Clustering with Boundary Patterns /
Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling /
Random Oracle Ensembles for Imbalanced Data /
Towards a Framework for Designing Full Model Selection and Optimization Systems /
Transfer Learning with Part-Based Ensembles /
Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification /
Ensemble of Feature Chains for Anomaly Detection /
Soft-Voting Clustering Ensemble /
Randomized Bayesian Network Classifiers /
A Novel Pattern Rejection Criterion Based on Multiple Classifiers /
MRF-Based Multiple Classifier System for Hyperspectral Remote Sensing Image Classification /
A Directed Inference Approach towards Multi-class Multi-model Fusion /
A New Feature Fusion Approach Based on LBP and Sparse Representation and Its Application to Face Recognition /
Binary Decision Trees for Melanoma Diagnosis /
ECOC Matrix Pruning Using Accuracy Information /