Support Vector Machines Applications

Editors: Ma, Yunqian, Guo, Guodong (Eds.)

  • 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
see more benefits

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-319-02300-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-319-02299-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-3-319-34329-7
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications.

About the authors

Yunqian Ma is Senior Principal Research Scientist at Honeywell Labs. Guodong Guo is an Assistant Professor at West Virginia University.

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)

Table of contents (8 chapters)

  • Augmented-SVM for Gradient Observations with Application to Learning Multiple-Attractor Dynamics

    Shukla, Ashwini (et al.)

    Pages 1-21

  • Multi-Class Support Vector Machine

    Wang, Zhe (et al.)

    Pages 23-48

  • Novel Inductive and Transductive Transfer Learning Approaches Based on Support Vector Learning

    Deng, Zhaohong (et al.)

    Pages 49-103

  • Security Evaluation of Support Vector Machines in Adversarial Environments

    Biggio, Battista (et al.)

    Pages 105-153

  • Application of SVMs to the Bag-of-Features Model: A Kernel Perspective

    Wang, Lei (et al.)

    Pages 155-189

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-319-02300-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-319-02299-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-3-319-34329-7
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Support Vector Machines Applications
Editors
  • Yunqian Ma
  • Guodong Guo
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-02300-7
DOI
10.1007/978-3-319-02300-7
Hardcover ISBN
978-3-319-02299-4
Softcover ISBN
978-3-319-34329-7
Edition Number
1
Number of Pages
VII, 302
Number of Illustrations and Tables
31 b/w illustrations, 56 illustrations in colour
Topics