Machine Learning for Multimedia Content Analysis

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Synopsis

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).

Book details

Edition:
2007
Series:
Multimedia Systems and Applications (Book 30)
Author:
Yihong Gong, Wei Xu
ISBN:
9780387699424
Related ISBNs:
9780387699387
Publisher:
Springer US
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-02-09
Usage restrictions:
Copyright
Copyright date:
2007
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Art and Architecture, Computers and Internet, Nonfiction