Multiple Classifier Systems - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642023255, 9783642023262

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Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_33 ◽

2009 ◽

pp. 324-334 ◽

Cited By ~ 6

Author(s):

Alexander Tatarchuk ◽

Valentina Sulimova ◽

David Windridge ◽

Vadim Mottl ◽

Mikhail Lange

Keyword(s):

Pattern Recognition ◽

Signature Verification ◽

On Line

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Ant Clustering Using Ensembles of Partitions

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_29 ◽

2009 ◽

pp. 283-292 ◽

Cited By ~ 1

Author(s):

Yuhua Gu ◽

Lawrence O. Hall ◽

Dmitry B. Goldgof

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Optimal Mean-Precision Classifier

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_8 ◽

2009 ◽

pp. 72-81 ◽

Cited By ~ 1

Author(s):

David M. J. Tax ◽

Marco Loog ◽

Robert P. W. Duin

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Stacking for Ensembles of Local Experts in Metabonomic Applications

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_50 ◽

2009 ◽

pp. 498-508 ◽

Cited By ~ 5

Author(s):

Kai Lienemann ◽

Thomas Plötz ◽

Gernot A. Fink

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FaSS: Ensembles for Stable Learners

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_37 ◽

2009 ◽

pp. 364-374

Author(s):

Kai Ming Ting ◽

Jonathan R. Wells ◽

Swee Chuan Tan ◽

Shyh Wei Teng ◽

Geoffrey I. Webb

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Constraints in Weighted Averaging

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_36 ◽

2009 ◽

pp. 354-363 ◽

Cited By ~ 1

Author(s):

Amber Tomas

Keyword(s):

Weighted Averaging

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Criteria Ensembles in Feature Selection

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_31 ◽

2009 ◽

pp. 304-313 ◽

Cited By ~ 1

Author(s):

Petr Somol ◽

Jiří Grim ◽

Pavel Pudil

Keyword(s):

Feature Selection

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A Study of Semi-supervised Generative Ensembles

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_25 ◽

2009 ◽

pp. 242-251

Author(s):

Manuela Zanda ◽

Gavin Brown

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An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_48 ◽

2009 ◽

pp. 478-487 ◽

Cited By ~ 3

Author(s):

Chun-Xia Zhang ◽

Robert P. W. Duin

Keyword(s):

Linear Regression ◽

Empirical Study ◽

Data Sets

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Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02326-2_6 ◽

2009 ◽

pp. 52-61 ◽

Cited By ~ 8

Author(s):

Peijun Du ◽

Wei Zhang ◽

Hao Sun

Keyword(s):

Remote Sensing ◽

Image Classification ◽

Remote Sensing Image ◽

Hyperspectral Remote Sensing ◽

Classifier Combination ◽

Remote Sensing Image Classification ◽

Multiple Classifier ◽

Hyperspectral Remote Sensing Image

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Multiple Classifier Systems - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels

Ant Clustering Using Ensembles of Partitions

Optimal Mean-Precision Classifier

Stacking for Ensembles of Local Experts in Metabonomic Applications

FaSS: Ensembles for Stable Learners

Constraints in Weighted Averaging

Criteria Ensembles in Feature Selection

A Study of Semi-supervised Generative Ensembles

An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets

Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification

Multiple Classifier Systems - Lecture Notes in Computer Science
Latest Publications