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Machine Learning for Multimedia Content Analysis

Machine Learning for Multimedia Content Analysis

Hardcover

Series: Multimedia Systems and Applications, Book 30

General ComputersNetworkingSystem Administration

ISBN10: 0387699384
ISBN13: 9780387699387
Publisher: Springer Nature
Published: Oct 1 2007
Pages: 277
Weight: 1.36
Height: 0.95 Width: 6.45 Depth: 9.22
Language: English

Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. 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).

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