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

9783540403692, 9783540449386

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Neural Net Ensembles for Lithology Recognition

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_25 ◽

2003 ◽

pp. 246-255 ◽

Cited By ~ 2

Author(s):

R. O. V. Santos ◽

M. M. B. R. Vellasco ◽

F. A. V. Artola ◽

S. A. B. da Fontoura

Keyword(s):

Neural Net

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Boosting with Averaged Weight Vectors

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_2 ◽

2003 ◽

pp. 15-24 ◽

Cited By ~ 32

Author(s):

Nikunj C. Oza

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Error Bounds for Aggressive and Conservative AdaBoost

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_3 ◽

2003 ◽

pp. 25-34 ◽

Cited By ~ 4

Author(s):

Ludmila I. Kuncheva

Keyword(s):

Error Bounds

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Spectral Coefficients and Classifier Correlation

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_28 ◽

2003 ◽

pp. 276-285 ◽

Cited By ~ 1

Author(s):

Terry Windeatt ◽

R. Ghaderi ◽

G. Ardeshir

Keyword(s):

Spectral Coefficients

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A Study of Ensemble of Hybrid Networks with Strong Regularization

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_23 ◽

2003 ◽

pp. 227-235 ◽

Cited By ~ 7

Author(s):

Shimon Cohen ◽

Nathan Intrator

Keyword(s):

Hybrid Networks

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A Markov Chain Approach to Multiple Classifier Fusion

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_22 ◽

2003 ◽

pp. 217-226

Author(s):

S. P. Luttrell

Keyword(s):

Markov Chain ◽

Classifier Fusion ◽

Markov Chain Approach ◽

Multiple Classifier

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Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_20 ◽

2003 ◽

pp. 196-205 ◽

Cited By ~ 13

Author(s):

Ondrej Velek ◽

Stefan Jaeger ◽

Masaki Nakagawa

Keyword(s):

Recognition Rate ◽

Large Database ◽

Japanese Character

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The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_19 ◽

2003 ◽

pp. 186-195

Author(s):

David Windridge ◽

Josef Kittler

Keyword(s):

Performance Characteristics ◽

Classifier Fusion ◽

Multiple Classifier ◽

Practical Performance

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An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_4 ◽

2003 ◽

pp. 35-44 ◽

Cited By ~ 22

Author(s):

Ross A. McDonald ◽

David J. Hand ◽

Idris A. Eckley

Keyword(s):

Real Data ◽

Data Sets ◽

Empirical Comparison ◽

Class Noise ◽

Boosting Algorithms

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Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44938-8_11 ◽

2003 ◽

pp. 106-114 ◽

Cited By ~ 2

Author(s):

Josef Kittler ◽

Ali Ahmadyfard ◽

David Windridge

Keyword(s):

Multiple Classifier Systems ◽

Classifier Systems ◽

Multiple Classifier ◽

Coarse To Fine ◽

Output Coding

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Multiple Classifier Systems - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Neural Net Ensembles for Lithology Recognition

Boosting with Averaged Weight Vectors

Error Bounds for Aggressive and Conservative AdaBoost

Spectral Coefficients and Classifier Correlation

A Study of Ensemble of Hybrid Networks with Strong Regularization

A Markov Chain Approach to Multiple Classifier Fusion

Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database

The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion

An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise

Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding

Multiple Classifier Systems - Lecture Notes in Computer Science
Latest Publications