Machine Learning Techniques for Multimedia Case Studies on Organization and Retrieval /
Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machi...
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| Other Authors: | , |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Cognitive Technologies,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-75171-7 |
Table of Contents:
- to Learning Principles for Multimedia Data
- to Bayesian Methods and Decision Theory
- Supervised Learning
- Unsupervised Learning and Clustering
- Dimension Reduction
- Multimedia Applications
- Online Content-Based Image Retrieval Using Active Learning
- Conservative Learning for Object Detectors
- Machine Learning Techniques for Face Analysis
- Mental Search in Image Databases: Implicit Versus Explicit Content Query
- Combining Textual and Visual Information for Semantic Labeling of Images and Videos
- Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization
- Classification and Clustering of Music for Novel Music Access Applications.