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Markov Models for Pattern Recognition: From Theory to Applications

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Markov Models for Pattern Recognition: From Theory to Applications - Fink, Gernot A
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This comprehensive introduction to the Markov modeling framework describes the underlying theoretical concepts of Markov models as used for sequential data, covering Hidden Markov models and Markov chain models. It also presents the techniques necessary to build successful systems for practical applications. In addition, the book demonstrates the actual use of the technology in the three main application areas of pattern recognition methods based on Markov-Models: speech recognition, handwriting recognition, and biological ...

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Markov Models for Pattern Recognition: From Theory to Applications 2016, Springer, London

ISBN-13: 9781447171331

2nd Softcover Reprint of the Original 2nd 2014 edition

Trade paperback

Markov Models for Pattern Recognition: From Theory to Applications 2014, Springer London Ltd, England

ISBN-13: 9781447163077

2nd edition 2014

Hardcover

Markov Models for Pattern Recognition: From Theory to Applications 2010, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin

ISBN-13: 9783642090882

Trade paperback

Markov Models for Pattern Recognition: From Theory to Applications 2007, Springer, London, England

ISBN-13: 9783540717669

Hardcover