Machine Learning Techniques for Multimedia

Part I. Introduction to Learning Principles for Multimedia Data

1. Introduction to Bayesian Methods and Decision Theory
Simon P. Wilson, Rozenn Dahyot, Pádraig Cunningham

2. Supervised Learning
Pádraig Cunningham, Matthieu Cord, Sarah Jane Delany

3. Unsupervised Learning and Clustering
Derek Greene, Pádraig Cunningham, Rudolf Mayer

4. Dimension Reduction
Pádraig Cunningham

Part II. Multimedia Applications

5. Online Content-Based Image Retrieval Using Active Learning
Matthieu Cord, Philippe-Henri Gosselin

6. Conservative Learning for Object Detectors
Peter M. Roth, Horst Bischof

7. Machine Learning Techniques for Face Analysis
Roberto Valenti, Nicu Sebe, Theo Gevers, Ira Cohen

8. Mental Search in Image Databases: Implicit Versus Explicit Content Query
Simon P. Wilson, Julien Fauqueur, Nozha Boujemaa

9. Combining Textual and Visual Information for Semantic
Labeling of Images and Videos
Pinar Duygulu, Muhammet Baştan, Derya Ozkan

10. Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization
Ludovic Denoyer, Patrick Gallinari

11. Classification and Clustering of Music for Novel Music
Access Applications
Thomas Lidy, Andreas Rauber

Keywords: Computer Science, Artificial Intelligence (incl. Robotics), Information Storage and Retrieval, User Interfaces and Human Computer Interaction, Data Mining and Knowledge Discovery, Document Preparation and Text Processing, Computer Imaging, Vision, Pattern Recognition and Graphics