<p>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).</p>

Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications, 30)

Computers & Technology

Gong, Yihong

Xu, Wei

Computer Science

Springer

This volume introduces machine learning techniques that are particularly effective for modeling multimedia data and common tasks of multimedia content analysis. It demonstrates the application of key machine learning techniques through case studies.

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Books by Gong, Yihong

See the best price to sell, buy, or rent books by Gong, Yihong. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications, 30)

Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications, 30)