Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Learning For Multimedia Content AnalysisISBN13:9780387699387ISBN10:0387699384Author:Gong, Yihong (Author), Xu, Wei (Author)Description: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) Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2007-10-01Weight:1.36 lbsDimensions:0.95'' H x 9.22'' L x 6.45'' WNumber of Pages:277Language:English
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Book Title: Machine Learning For Multimedia Content Analysis
Item Length: 9.3in
Item Height: 0.4in
Item Width: 6.1in
Author: Yihong Gong, Wei Xu
Publication Name: Machine Learning for Multimedia Content Analysis
Format: Hardcover
Language: English
Publisher: Springer
Series: Multimedia Systems and Applications Ser.
Publication Year: 2007
Type: Textbook
Item Weight: 21.6 Oz
Number of Pages: Xvi, 277 Pages
