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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