Machine Learning for Audio, Image and Video Analysis

Theory and Applications

Authors:

ISBN: 978-1-84800-006-3 (Print) 978-1-84800-007-0 (Online)

Table of contents (14 chapters)

  1. Front Matter

    Pages I-XVI

  2. From Perception to Computation

    1. No Access

      Book Chapter

      Pages 1-10

      Introduction

    2. No Access

      Book Chapter

      Pages 13-50

      Audio Acquisition, Representation and Storage

    3. No Access

      Book Chapter

      Pages 51-80

      Image and Video Acquisition, Representation and Storage

  3. Machine Learning

    1. No Access

      Book Chapter

      Pages 83-89

      Machine Learning

    2. No Access

      Book Chapter

      Pages 91-115

      Bayesian Theory of Decision

    3. No Access

      Book Chapter

      Pages 117-148

      Clustering Methods

    4. No Access

      Book Chapter

      Pages 149-172

      Foundations of Statistical Learning and Model Selection

    5. No Access

      Book Chapter

      Pages 173-209

      Supervised Neural Networks and Ensemble Methods

    6. No Access

      Book Chapter

      Pages 211-263

      Kernel Methods

    7. No Access

      Book Chapter

      Pages 265-303

      Markovian Models for Sequential Data

    8. No Access

      Book Chapter

      Pages 305-341

      Feature Extraction Methods and Manifold Learning Methods

  4. Applications

    1. No Access

      Book Chapter

      Pages 345-379

      Speech and Handwriting Recognition

    2. No Access

      Book Chapter

      Pages 381-411

      Automatic Face Recognition

    3. No Access

      Book Chapter

      Pages 413-430

      Video Segmentation and Keyframe Extraction

  5. Back Matter

    Pages 431-494