E-Book, Englisch, 289 Seiten, eBook
Reihe: Cognitive Technologies
Cord / Cunningham Machine Learning Techniques for Multimedia
2008
ISBN: 978-3-540-75171-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Case Studies on Organization and Retrieval
E-Book, Englisch, 289 Seiten, eBook
Reihe: Cognitive Technologies
ISBN: 978-3-540-75171-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
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.
