Happy Holidays! Over 120,000 eBooks at just 19.99 each— Pick a favorite today

Advances in Computer Vision and Pattern Recognition

Sparse Representation, Modeling and Learning in Visual Recognition

Theory, Algorithms and Applications

Authors: Cheng, Hong

  • Describes the latest research trends in compressed sensing, covering sparse representation, modeling and learning
  • Examines sensing applications in visual recognition, including sparsity induced similarity, and sparse coding-based classifying frameworks
  • Discusses in detail the theory and algorithms of compressed sensing
see more benefits

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4471-6714-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4471-6713-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
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: November 18, 2016
  • ISBN 978-1-4471-7251-2
  • Free shipping for individuals worldwide
About this book

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.

About the authors

Dr. Hong Cheng is Professor in the School of Automation Engineering, and Deputy Executive Director of the Center for Robotics at the University of Electronic Science and Technology of China. His other publications include the Springer book Autonomous Intelligent Vehicles.

Table of contents (9 chapters)

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4471-6714-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4471-6713-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
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: November 18, 2016
  • ISBN 978-1-4471-7251-2
  • Free shipping for individuals worldwide
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Sparse Representation, Modeling and Learning in Visual Recognition
Book Subtitle
Theory, Algorithms and Applications
Authors
Series Title
Advances in Computer Vision and Pattern Recognition
Copyright
2015
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-6714-3
DOI
10.1007/978-1-4471-6714-3
Hardcover ISBN
978-1-4471-6713-6
Softcover ISBN
978-1-4471-7251-2
Series ISSN
2191-6586
Edition Number
1
Number of Pages
XIV, 257
Number of Illustrations and Tables
73 b/w illustrations
Topics