Markov Models for Pattern Recognition
From Theory to Applications
Authors: Fink, Gernot A.
Free Preview- Thoroughly revised, updated and expanded new edition
- Examines pattern recognition systems from the perspective of Markov models, demonstrating how the models can be used in a range of applications
- Places special emphasis on practical algorithmic solutions
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- About this Textbook
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This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.
- About the authors
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Prof. Dr.-Ing. Gernot A. Fink is Head of the Pattern Recognition Research Group at TU Dortmund University, Dortmund, Germany. His other publications include the Springer title Markov Models for Handwriting Recognition.
- Reviews
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From the book reviews:
“The book is highly appropriate for researchers and practitioners dealing with pattern recognition in general and speech, character and handwriting recognition sequences, in particular.” (Catalin Stoean, zbMATH 1307.68001, 2015)
- Video
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- Table of contents (15 chapters)
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Introduction
Pages 1-7
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Application Areas
Pages 9-29
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Foundations of Mathematical Statistics
Pages 35-49
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Vector Quantization and Mixture Estimation
Pages 51-69
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Hidden Markov Models
Pages 71-106
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Table of contents (15 chapters)
- Download Preface 1 PDF (168.1 KB)
- Download Sample pages 2 PDF (918.2 KB)
- Download Table of contents PDF (190.3 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Markov Models for Pattern Recognition
- Book Subtitle
- From Theory to Applications
- Authors
-
- Gernot A. Fink
- Series Title
- Advances in Computer Vision and Pattern Recognition
- Copyright
- 2014
- Publisher
- Springer-Verlag London
- Copyright Holder
- Springer-Verlag London
- eBook ISBN
- 978-1-4471-6308-4
- DOI
- 10.1007/978-1-4471-6308-4
- Hardcover ISBN
- 978-1-4471-6307-7
- Softcover ISBN
- 978-1-4471-7133-1
- Series ISSN
- 2191-6586
- Edition Number
- 2
- Number of Pages
- XIII, 276
- Number of Illustrations
- 45 b/w illustrations
- Topics
