Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval (Cognitive Technologies)

Cover......Page 1
Cognitive Technologies......Page 2
Machine Learning
Techniques for
Multimedia......Page 3
ISBN: 9783540751700......Page 4
Preface......Page 6
Contents......Page 10
List of Contributors......Page 16
Part I
Introduction to Learning Principles
for Multimedia Data......Page 19
1
Introduction to Bayesian Methods
and Decision Theory......Page 21
2
Supervised Learning......Page 39
3
Unsupervised Learning and Clustering......Page 69
4
Dimension Reduction......Page 109
Part II
Multimedia Applications......Page 132
5
Online Content-Based Image Retrieval
Using Active Learning......Page 133
6
Conservative Learning for Object Detectors......Page 157
7
Machine Learning Techniques
for Face Analysis......Page 177
8
Mental Search in Image Databases:
Implicit Versus Explicit Content Query......Page 207
9
Combining Textual and Visual Information
for Semantic Labeling of Images and Videos......Page 223
10
Machine Learning for Semi-structured
Multimedia Documents: Application
to Pornographic Filtering and Thematic
Categorization......Page 245
11
Classification and Clustering of Music for Novel
Music Access Applications......Page 267
Index......Page 305