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

9783540221449, 9783540259664

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A Generic Sensor Fusion Problem: Classification and Function Estimation

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_2 ◽

2004 ◽

pp. 16-30 ◽

Cited By ~ 6

Author(s):

Nageswara S. V. Rao

Keyword(s):

Sensor Fusion ◽

Function Estimation ◽

And Function

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Classifier Ensembles for Changing Environments

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_1 ◽

2004 ◽

pp. 1-15 ◽

Cited By ~ 162

Author(s):

Ludmila I. Kuncheva

Keyword(s):

Classifier Ensembles ◽

Changing Environments

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High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_36 ◽

2004 ◽

pp. 364-373 ◽

Cited By ~ 4

Author(s):

Gian Luca Marcialis ◽

Fabio Roli

Keyword(s):

Fingerprint Verification ◽

High Security

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Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_31 ◽

2004 ◽

pp. 314-323 ◽

Cited By ~ 3

Author(s):

Simon Günter ◽

Horst Bunke

Keyword(s):

Handwriting Recognition ◽

Ensembles Of Classifiers

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Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_27 ◽

2004 ◽

pp. 273-282 ◽

Cited By ~ 9

Author(s):

Héla Zouari ◽

Laurent Heutte ◽

Yves Lecourtier ◽

Adel Alimi

Keyword(s):

Combination Methods

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Combining Dissimilarity-Based One-Class Classifiers

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_12 ◽

2004 ◽

pp. 122-133 ◽

Cited By ~ 9

Author(s):

Elżbieta Pękalska ◽

Marina Skurichina ◽

Robert P. W. Duin

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Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_8 ◽

2004 ◽

pp. 82-91 ◽

Cited By ~ 13

Author(s):

Marco Saerens ◽

François Fouss

Keyword(s):

Maximum Entropy ◽

Combining Classifiers

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Sharing Training Patterns among Multiple Classifiers

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_24 ◽

2004 ◽

pp. 243-252 ◽

Cited By ~ 3

Author(s):

Rozita Dara ◽

Mohamed Kamel

Keyword(s):

Multiple Classifiers

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Bagging Decision Multi-trees

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_4 ◽

2004 ◽

pp. 41-51 ◽

Cited By ~ 3

Author(s):

Vicent Estruch ◽

César Ferri ◽

José Hernández-Orallo ◽

Maria José Ramírez-Quintana

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Experiments on Ensembles with Missing and Noisy Data

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25966-4_29 ◽

2004 ◽

pp. 293-302 ◽

Cited By ~ 42

Author(s):

Prem Melville ◽

Nishit Shah ◽

Lilyana Mihalkova ◽

Raymond J. Mooney

Keyword(s):

Noisy Data

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Multiple Classifier Systems - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A Generic Sensor Fusion Problem: Classification and Function Estimation

Classifier Ensembles for Changing Environments

High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers

Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition

Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers

Combining Dissimilarity-Based One-Class Classifiers

Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach

Sharing Training Patterns among Multiple Classifiers

Bagging Decision Multi-trees

Experiments on Ensembles with Missing and Noisy Data

Multiple Classifier Systems - Lecture Notes in Computer Science
Latest Publications