2008

Markov Models for Pattern Recognition

From Theory to Applications

Authors:

ISBN: 978-3-540-71766-9 (Print) 978-3-540-71770-6 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages I-XII

  2. Introduction

    1. No Access

      Book Chapter

      Pages 1-6

      Introduction

  3. Application Areas

    1. No Access

      Book Chapter

      Pages 7-27

      Application Areas

  4. Theory

    1. Front Matter

      Pages 29-31

    2. No Access

      Book Chapter

      Pages 33-44

      Foundations of Mathematical Statistics

    3. No Access

      Book Chapter

      Pages 45-59

      Vector Quantization

    4. No Access

      Book Chapter

      Pages 61-93

      Hidden Markov Models

    5. No Access

      Book Chapter

      Pages 95-113

      n-Gram Models

  5. Practice

    1. Front Matter

      Pages 115-118

    2. No Access

      Book Chapter

      Pages 119-125

      Computations with Probabilities

    3. No Access

      Book Chapter

      Pages 127-136

      Configuration of Hidden Markov Models

    4. No Access

      Book Chapter

      Pages 137-164

      Robust Parameter Estimation

    5. No Access

      Book Chapter

      Pages 165-179

      Efficient Model Evaluation

    6. No Access

      Book Chapter

      Pages 181-188

      Model Adaptation

    7. No Access

      Book Chapter

      Pages 189-201

      Integrated Search Methods

  6. Systems

    1. Front Matter

      Pages 203-206

    2. No Access

      Book Chapter

      Pages 207-214

      Speech Recognition

    3. No Access

      Book Chapter

      Pages 215-220

      Character and Handwriting Recognition

    4. No Access

      Book Chapter

      Pages 221-225

      Analysis of Biological Sequences

  7. Back Matter

    Pages 227-248