Description: Machine Learning for Multimedia Content Analysis Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Yihong Gong, Wei Xu Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781441943538, 978-1441943538 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).
Price: 94.18 GBP
Location: Aldershot
End Time: 2025-01-06T13:05:01.000Z
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Book Title: Machine Learning for Multimedia Content Analysis
Number of Pages: 277 Pages
Language: English
Publication Name: Machine Learning for Multimedia Content Analysis
Publisher: Springer-Verlag New York Inc.
Publication Year: 2010
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 456 g
Type: Textbook
Author: Yihong Gong, Wei Xu
Series: Multimedia Systems and Applications
Item Width: 155 mm
Format: Paperback
