Machine Learning Techniques for Multimedia

Case Studies on Organization and Retrieval

Editors:

ISBN: 978-3-540-75170-0 (Print) 978-3-540-75171-7 (Online)

Table of contents (11 chapters)

  1. Front Matter

    Pages I-XVI

  2. Introduction to Learning Principles for Multimedia Data

    1. Front Matter

      Pages 1-1

    2. No Access

      Book Chapter

      Pages 3-19

      Introduction to Bayesian Methods and Decision Theory

    3. No Access

      Book Chapter

      Pages 21-49

      Supervised Learning

    4. No Access

      Book Chapter

      Pages 51-90

      Unsupervised Learning and Clustering

    5. No Access

      Book Chapter

      Pages 91-112

      Dimension Reduction

  3. Multimedia Applications

    1. Front Matter

      Pages 113-113

    2. No Access

      Book Chapter

      Pages 115-138

      Online Content-Based Image Retrieval Using Active Learning

    3. No Access

      Book Chapter

      Pages 139-158

      Conservative Learning for Object Detectors

    4. No Access

      Book Chapter

      Pages 159-187

      Machine Learning Techniques for Face Analysis

    5. No Access

      Book Chapter

      Pages 189-204

      Mental Search in Image Databases: Implicit Versus Explicit Content Query

    6. No Access

      Book Chapter

      Pages 205-225

      Combining Textual and Visual Information for Semantic Labeling of Images and Videos

    7. No Access

      Book Chapter

      Pages 227-247

      Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization

    8. No Access

      Book Chapter

      Pages 249-285

      Classification and Clustering of Music for Novel Music Access Applications

  4. Back Matter

    Pages 287-288