Machine Learning for Multimedia Content Analysis (Paperback)

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This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fa...

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ITEM#: 14420894

This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).

Specs

ISBN 9781441943538
Genre COMPUTERS / Computer Science
Format Paperback
Pages 293
Publisher Date 2007-10-01 00:00:00.0
Publisher Springer Verlag
Language English
Series Name Multimedia Systems and Applications
Series Volume Number 30
Audience College/higher education
Authors Gong, Yihong

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