Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence
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Published By Springer Berlin Heidelberg

9783540762799, 9783540762805

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Machine Learning for Reading Order Detection in Document Image Understanding

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_3 ◽

2008 ◽

pp. 45-69 ◽

Cited By ~ 8

Author(s):

Donato Malerba ◽

Michelangelo Ceci ◽

Margherita Berardi

Keyword(s):

Machine Learning ◽

Image Understanding ◽

Document Image ◽

Document Image Understanding ◽

Reading Order

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Machine Learning for Signature Verification

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_15 ◽

2008 ◽

pp. 387-408 ◽

Cited By ~ 2

Author(s):

Sargur N. Srihari ◽

Harish Srinivasan ◽

Siyuan Chen ◽

Matthew J. Beal

Keyword(s):

Machine Learning ◽

Signature Verification

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Combining Classifiers with Informational Confidence

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_7 ◽

2008 ◽

pp. 163-191

Author(s):

Stefan Jaeger ◽

Huanfeng Ma ◽

David Doermann

Keyword(s):

Combining Classifiers

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Multiple Hypotheses Document Analysis

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_11 ◽

2008 ◽

pp. 277-303

Author(s):

Tatsuhiko Kagehiro ◽

Hiromichi Fujisawa

Keyword(s):

Document Analysis ◽

Multiple Hypotheses

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Structure Extraction in Printed Documents Using Neural Approaches

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_2 ◽

2008 ◽

pp. 21-43 ◽

Cited By ~ 4

Author(s):

Abdel Belaïd ◽

Yves Rangoni

Keyword(s):

Structure Extraction

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Review of Classifier Combination Methods

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_14 ◽

2008 ◽

pp. 361-386 ◽

Cited By ~ 72

Author(s):

Sergey Tulyakov ◽

Stefan Jaeger ◽

Venu Govindaraju ◽

David Doermann

Keyword(s):

Classifier Combination ◽

Combination Methods

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Learning Matching Score Dependencies for Classifier Combination

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_12 ◽

2008 ◽

pp. 305-332

Author(s):

Sergey Tulyakov ◽

Venu Govindaraju

Keyword(s):

Classifier Combination ◽

Matching Score

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Classification and Learning Methods for Character Recognition: Advances and Remaining Problems

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_6 ◽

2008 ◽

pp. 139-161 ◽

Cited By ~ 30

Author(s):

Cheng-Lin Liu ◽

Hiromichi Fujisawa

Keyword(s):

Character Recognition ◽

Learning Methods

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Perturbation Models for Generating Synthetic Training Data in Handwriting Recognition

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_13 ◽

2008 ◽

pp. 333-360 ◽

Cited By ~ 7

Author(s):

Tamás Varga ◽

Horst Bunke

Keyword(s):

Handwriting Recognition ◽

Training Data ◽

Synthetic Training Data

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Off-line Writer Identification and Verification Using Gaussian Mixture Models

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-540-76280-5_16 ◽

2008 ◽

pp. 409-428 ◽

Cited By ~ 19

Author(s):

Andreas Schlapbach ◽

Horst Bunke

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Writer Identification

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Machine Learning in Document Analysis and Recognition - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Machine Learning for Reading Order Detection in Document Image Understanding

Machine Learning for Signature Verification

Combining Classifiers with Informational Confidence

Multiple Hypotheses Document Analysis

Structure Extraction in Printed Documents Using Neural Approaches

Review of Classifier Combination Methods

Learning Matching Score Dependencies for Classifier Combination

Classification and Learning Methods for Character Recognition: Advances and Remaining Problems

Perturbation Models for Generating Synthetic Training Data in Handwriting Recognition

Off-line Writer Identification and Verification Using Gaussian Mixture Models

Machine Learning in Document Analysis and Recognition - Studies in Computational Intelligence
Latest Publications