Overview
Focus on current developments in the field of Support Vector Machines
Illustrates critical applications of support vector machines to important real world problems
Provides critical review of the state-of-the-art techniques on SVM, such as domain transfer SVM, object recognition, soft biometrics, and biomedical applications
Includes supplementary material: sn.pub/extras
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Keywords
Table of contents (8 chapters)
Reviews
From the book reviews:
“The book brings substantial contributions to the field of SVMs from both theoretical and practical points of view. The concepts and methods are presented in a clear and accessible way, and the illustrative examples and applications provide a valuable source of inspiration for similar developments. … This book is of considerable value to researchers in the fields of machine learning, data mining, and statistical pattern recognition.” (L. State, Computing Reviews, August, 2014)Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Support Vector Machines Applications
Editors: Yunqian Ma, Guodong Guo
DOI: https://doi.org/10.1007/978-3-319-02300-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-02299-4Published: 03 March 2014
Softcover ISBN: 978-3-319-34329-7Published: 03 September 2016
eBook ISBN: 978-3-319-02300-7Published: 12 February 2014
Edition Number: 1
Number of Pages: VII, 302
Number of Illustrations: 31 b/w illustrations, 56 illustrations in colour
Topics: Signal, Image and Speech Processing, Computer Communication Networks, Complexity, Computational Intelligence, Computer Systems Organization and Communication Networks, Communications Engineering, Networks