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Multiple classifier systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013 : proceedings

Autor: Zhi-Hua Zhou, (Computer scientist); Fabio Roli; Josef Kittler
Editora: Berlin ; New York : Springer, ©2013.
Séries: Lecture notes in computer science, 7872.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Edição/Formato   e-book : Documento : Publicação de conferência : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
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  Ler mais...
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Detalhes

Gênero/Forma: Electronic books
Conference proceedings
Congresses
Tipo de Material: Publicação de conferência, Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: Zhi-Hua Zhou, (Computer scientist); Fabio Roli; Josef Kittler
ISBN: 9783642380679 3642380670
Número OCLC: 841246435
Descrição: 1 online resource (xi, 400 p.) : ill.
Conteúdos: Improving Simple Collaborative Filtering Models Using Ensemble Methods / Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira --
Combining Instance Information to Classify Bags / Veronika Cheplygina, David M. J. Tax, Marco Loog --
Similarity Weighted Ensembles for Relocating Models of Rare Events / Claire D'Este, Ashfaqur Rahman --
Diversity in Classifier Ensembles: Fertile Concept or Dead End? / Luca Didaci, Giorgio Fumera, Fabio Roli --
Gender Classification Using Mixture of Experts from Low Resolution Facial Images / Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi --
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains / Evgeni Tsivtsivadze, Tom Heskes, Armand Paauw --
Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis / Zhen-Hua Feng, Josef Kittler, William Christmas, Xiao-Jun Wu --
Kalman Filter Based Classifier Fusion for Affective State Recognition / Michael Glodek, Stephan Reuter, Martin Schels --
Adaptive Ensemble Selection for Face Re-identification under Class Imbalance / Paulo Radtke, Eric Granger, Robert Sabourin --
Self-Organizing Neural Grove and Its Application to Incremental Learning / Hirotaka Inoue --
Cascaded Reduction and Growing of Result Sets for Combining Object Detectors / Uwe Knauer, Udo Seiffert --
Single Classifier Based Multiple Classifications / Albert Hung-Ren Ko, Robert Sabourin --
Selective Ensemble of Classifier Chains / Nan Li, Zhi-Hua Zhou --
The Link between Multiple-Instance Learning and Learning from Only Positive and Unlabelled Examples / Yan Li, David M. J. Tax, Robert P. W. Duin, Marco Loog --
Stable L2-Regularized Ensemble Feature Weighting / Yun Li, Shasha Huang, Songcan Chen, Jennie Si --
Selective Clustering Ensemble Based on Covariance / Xuyao Lu, Yan Yang, Hongjun Wang --
Semi-supervised Clustering Ensemble for Web Video Categorization / Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang --
Coding Theory Tools for Improving Recognition Performance in ECOC Systems / Claudio Marrocco, Paolo Simeone, Francesco Tortorella --
Can Diversity amongst Learners Improve Online Object Tracking? / Georg Nebehay, Walter Chibamu, Peter R. Lewis, Arjun Chandra --
A New Perspective of Support Vector Clustering with Boundary Patterns / Yuan Ping, Huina Li, Yong Zhang, Zhili Zhang --
Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling / Moacir P. Ponti Jr., Isadora Rossi --
Random Oracle Ensembles for Imbalanced Data / Juan J. Rodríguez, José-Francisco Díez-Pastor --
Towards a Framework for Designing Full Model Selection and Optimization Systems / Quan Sun, Bernhard Pfahringer, Michael Mayo --
Transfer Learning with Part-Based Ensembles / Shiliang Sun, Zhijie Xu, Mo Yang --
Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification / Muhammad Atif Tahir, Ahmed Bouridane, Josef Kittler --
Ensemble of Feature Chains for Anomaly Detection / Lena Tenenboim-Chekina, Lior Rokach, Bracha Shapira --
Soft-Voting Clustering Ensemble / Haishen Wang, Yan Yang, Hongjun Wang, Dahai Chen --
Randomized Bayesian Network Classifiers / Qing Wang, Ping Li --
A Novel Pattern Rejection Criterion Based on Multiple Classifiers / Wei-Na Wang, Xu-Yao Zhang, Ching Y. Suen --
MRF-Based Multiple Classifier System for Hyperspectral Remote Sensing Image Classification / Junshi Xia, Peijun Du, Xiyan He --
A Directed Inference Approach towards Multi-class Multi-model Fusion / Tianbao Yang, Lei Wu, Piero P. Bonissone --
A New Feature Fusion Approach Based on LBP and Sparse Representation and Its Application to Face Recognition / He-Feng Yin, Xiao-Jun Wu --
Binary Decision Trees for Melanoma Diagnosis / Yu Zhou, Zhuoyi Song --
ECOC Matrix Pruning Using Accuracy Information / Cemre Zor, Terry Windeatt, Josef Kittler.
Título da Série: Lecture notes in computer science, 7872.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Outros Títulos: MCS 2013
Responsabilidade: Zhi-Hua Zhou, Fabio Roli, Josef Kittler (eds.).
Mais informações:

Resumo:

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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