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

9783540438182, 9783540454281

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Trainable Multiple Classifier Schemes for Handwritten Character Recognition

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_17 ◽

2002 ◽

pp. 169-178 ◽

Cited By ~ 11

Author(s):

K. Sirlantzis ◽

S. Hoque ◽

M. C. Fairhurst

Keyword(s):

Character Recognition ◽

Handwritten Character Recognition ◽

Handwritten Character ◽

Multiple Classifier

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Support Vector Machines, Kernel Logistic Regression and Boosting

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_2 ◽

2002 ◽

pp. 16-26 ◽

Cited By ~ 5

Author(s):

Ji Zhu ◽

Trevor Hastie

Keyword(s):

Logistic Regression ◽

Support Vector Machines ◽

Support Vector ◽

Kernel Logistic Regression ◽

Vector Machines

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Multiple Classification Systems in the Context of Feature Extraction and Selection

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_3 ◽

2002 ◽

pp. 27-41 ◽

Cited By ~ 5

Author(s):

Šarūnas Raudys

Keyword(s):

Feature Extraction ◽

Classification Systems ◽

Multiple Classification ◽

Feature Extraction And Selection

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Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_12 ◽

2002 ◽

pp. 118-126 ◽

Cited By ~ 3

Author(s):

Francesco Mola ◽

Roberta Siciliano

Keyword(s):

Data Mining ◽

Discriminant Analysis ◽

Recursive Partitioning

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Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_19 ◽

2002 ◽

pp. 189-200 ◽

Cited By ~ 5

Author(s):

Joseph T. Morgan ◽

Alex Henneguelle ◽

Melba M. Crawford ◽

Joydeep Ghosh ◽

Amy Neuenschwander

Keyword(s):

Land Cover ◽

Ground Truth ◽

Land Cover Classification ◽

Ground Truth Data ◽

Feature Spaces

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Reduction of the Boasting Bias of Linear Experts

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_24 ◽

2002 ◽

pp. 242-251 ◽

Cited By ~ 2

Author(s):

Arūnas Janeliūnas ◽

Šarūnas Raudys

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Decision Level Fusion of Intramodal Personal Identity Verification Experts

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_31 ◽

2002 ◽

pp. 314-324 ◽

Cited By ~ 4

Author(s):

J. Kittler ◽

M. Ballette ◽

J. Czyz ◽

F. Roli ◽

L. Vandendorpe

Keyword(s):

Personal Identity ◽

Identity Verification ◽

Decision Level ◽

Decision Level Fusion ◽

Level Fusion

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Boosted Tree Ensembles for Solving Multiclass Problems

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_4 ◽

2002 ◽

pp. 42-51 ◽

Cited By ~ 8

Author(s):

Terry Windeatt ◽

Gholamreza Ardeshir

Keyword(s):

Boosted Tree

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Post-processing of Classifier Outputs in Multiple Classifier Systems

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_16 ◽

2002 ◽

pp. 159-168 ◽

Cited By ~ 1

Author(s):

Hakan Altinçay ◽

Mübeccel Demirekler

Keyword(s):

Post Processing ◽

Multiple Classifier Systems ◽

Classifier Systems ◽

Multiple Classifier

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Multiclassifier Systems: Back to the Future

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-45428-4_1 ◽

2002 ◽

pp. 1-15 ◽

Cited By ~ 59

Author(s):

Joydeep Ghosh

Keyword(s):

The Future

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Multiple Classifier Systems - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Trainable Multiple Classifier Schemes for Handwritten Character Recognition

Support Vector Machines, Kernel Logistic Regression and Boosting

Multiple Classification Systems in the Context of Feature Extraction and Selection

Discriminant Analysis and Factorial Multiple Splits in Recursive Partitioning for Data Mining

Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data

Reduction of the Boasting Bias of Linear Experts

Decision Level Fusion of Intramodal Personal Identity Verification Experts

Boosted Tree Ensembles for Solving Multiclass Problems

Post-processing of Classifier Outputs in Multiple Classifier Systems

Multiclassifier Systems: Back to the Future

Multiple Classifier Systems - Lecture Notes in Computer Science
Latest Publications