Volume 30 2007

Machine Learning for Multimedia Content Analysis

Authors:

ISBN: 978-0-387-69938-7 (Print) 978-0-387-69942-4 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages I-XV

  2. Unsupervised Learning

    1. No Access

      Book Chapter

      Pages 1-11

      Introduction

    2. No Access

      Book Chapter

      Pages 15-35

      Dimension Reduction

    3. No Access

      Book Chapter

      Pages 37-70

      Data Clustering Techniques

  3. Generative Graphical Models

    1. No Access

      Book Chapter

      Pages 73-80

      Introduction of Graphical Models

    2. No Access

      Book Chapter

      Pages 81-114

      Markov Chains and Monte Carlo Simulation

    3. No Access

      Book Chapter

      Pages 115-147

      Markov Random Fields and Gibbs Sampling

    4. No Access

      Book Chapter

      Pages 149-177

      Hidden Markov Models

    5. No Access

      Book Chapter

      Pages 179-197

      Inference and Learning for General Graphical Models

  4. Discriminative Graphical Models

    1. No Access

      Book Chapter

      Pages 201-233

      Maximum Entropy Model and Conditional Random Field

    2. No Access

      Book Chapter

      Pages 235-266

      Max-Margin Classifications

  5. Back Matter

    Pages 268-277