Book Volume 29 2005

Machine Learning in Computer Vision

Authors:

ISBN: 978-1-4020-3274-5 (Print) 978-1-4020-3275-2 (Online)

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xv

  2. No Access

    Chapter

    Pages 1-13

    Introduction

  3. No Access

    Chapter

    Pages 15-43

    Theory: Probabilistic Classifiers

  4. No Access

    Chapter

    Pages 45-64

    Theory: Generalization Bounds

  5. No Access

    Chapter

    Pages 65-101

    Theory: Semi-Supervised Learning

  6. No Access

    Chapter

    Pages 103-118

    Algorithm: Maximum Likelihood Minimum Entropy HMM

  7. No Access

    Chapter

    Pages 119-128

    Algorithm: Margin Distribution Optimization

  8. No Access

    Chapter

    Pages 129-156

    Algorithm: Learning the Structure of Bayesian Network Classifiers

  9. No Access

    Chapter

    Pages 157-173

    Application: Office Activity Recognition

  10. No Access

    Chapter

    Pages 175-186

    Application: Multimodal Event Detection

  11. No Access

    Chapter

    Pages 187-209

    Application: Facial Expression Recognition

  12. No Access

    Chapter

    Pages 211-224

    Application: Bayesian Network Classifiers for Face Detection

  13. Back Matter

    Pages 225-242