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Machine Learning for Multimedia Content Analysis
Paperback
Series: Multimedia Systems and Applications, Book 30
General ComputersNetworkingSystem Administration
ISBN13: 9781441943538
Publisher: Springer Nature
Published: Nov 23 2010
Pages: 277
Weight: 0.92
Height: 0.62 Width: 6.14 Depth: 9.21
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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