Machine Learning for Multimedia Content Analysis is popular PDF and ePub book, written by Yihong Gong in 2007-09-26, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning for Multimedia Content Analysis can be Read Online from any device for your convenience.
Machine Learning for Multimedia Content Analysis Book PDF Summary
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).
Detail Book of Machine Learning for Multimedia Content Analysis PDF
- Author : Yihong Gong
- Release : 26 September 2007
- Publisher : Springer Science & Business Media
- ISBN : 9780387699424
- Genre : Computers
- Total Page : 282 pages
- Language : English
- PDF File Size : 8,6 Mb
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