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Table of contents

  1. Front Matter
    Pages I-XII
  2. Introduction

    1. Pages 1-6
  3. Application Areas

    1. Pages 7-27
  4. Theory

    1. Front Matter
      Pages 29-31
    2. Pages 45-59
    3. Pages 61-93
    4. Pages 95-113
  5. Practice

    1. Front Matter
      Pages 115-118
    2. Pages 181-188
  6. Systems

    1. Front Matter
      Pages 203-206
    2. Pages 207-214
  7. Back Matter
    Pages 227-248

About this book

Introduction

Markov models are used to solve challenging pattern recognition problems
on the basis of sequential data as, e.g., automatic speech or handwriting
recognition. This comprehensive introduction to the Markov modeling framework
describes both the underlying theoretical concepts of Markov models - covering
Hidden Markov models and Markov chain models - as used for sequential data and
presents the techniques necessary to build successful systems for practical
applications.

This comprehensive introduction to the Markov modeling framework describes the underlying theoretical concepts - covering Hidden Markov models and Markov chain models - and presents the techniques and algorithmic solutions essential to creating real world applications. The actual use of Markov models in their three main application areas - namely speech recognition, handwriting recognition, and biological sequence analysis - is presented with examples of successful systems.

Encompassing both Markov model theory and practise, this book addresses the needs of practitioners and researchers from the field of pattern recognition as well as graduate students with a related major field of study.

Keywords

Biological Sequence Analysis Hidden Markov Model Markov Model Markov-Models Pattern Recognition algorithms cognition handwriting recognition modeling optimization speech recognition

Authors and affiliations

  • Gernot A. Fink
    • 1
  1. 1.Department of Computer ScienceUniversity of DortmundDortmundGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-71770-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-71766-9
  • Online ISBN 978-3-540-71770-6
  • Buy this book on publisher's site
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