Machine Learning Techniques for Multimedia
Case Studies on Organization and Retrieval
(Sprache: Englisch)
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...
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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. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.
Klappentext zu „Machine Learning Techniques for Multimedia “
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. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.
Inhaltsverzeichnis zu „Machine Learning Techniques for Multimedia “
Part I: Introduction to Learning Principles for Multimedia Data- Introduction to Bayesian Methods and Decision Theory
- Supervised Learning
- Unsupervised Learning and Clustering
- Dimension Reduction
Part II: Multimedia Applications
- Online Content-Based Image Retrieval Using Active Learning
- Conservative Learning for Learning Object Detectors
- Machine Learning Techniques for Face Analysis
- Mental Search in Image Databases
- Combining Textual and Visual Information for Semantic Labeling of Images and Videos
- Classification and Clustering of Music for Novel Music Access Applications
- Machine Learning for Semistructured Multimedia Documents
- Index
Bibliographische Angaben
- 2008, 308 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Pádraig Cunningham, Matthieu Cord
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 354075170X
- ISBN-13: 9783540751700
- Erscheinungsdatum: 26.02.2008
Sprache:
Englisch
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