Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Keywords
Table of contents (15 chapters)
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Systems
Reviews
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)
Authors and Affiliations
About the author
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.
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
DOI: https://doi.org/10.1007/978-1-4471-6308-4
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2014
Hardcover ISBN: 978-1-4471-6307-7Published: 28 January 2014
Softcover ISBN: 978-1-4471-7133-1Published: 27 August 2016
eBook ISBN: 978-1-4471-6308-4Published: 14 January 2014
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 2
Number of Pages: XIII, 276
Number of Illustrations: 45 b/w illustrations
Topics: Pattern Recognition, Image Processing and Computer Vision, Natural Language Processing (NLP), Artificial Intelligence