Low-Rank and Sparse Modeling for Visual Analysis

Editors: Fu, Yun (Ed.)

Free Preview
  • Covers the most state-of-the-art topics of sparse and low-rank modeling
  • Examines the theory of sparse and low-rank analysis to the real-world practice of sparse and low-rank analysis
  • Contributions from top experts voicing their unique perspectives included throughout
see more benefits

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-319-12000-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-11999-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $109.00
price for USA in USD
  • 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 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: September 23, 2016
  • ISBN 978-3-319-35567-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
About this book

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.

About the authors

Yun Fu is an Assistant Professor, ECE and CS, Northeastern University

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-319-12000-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-11999-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $109.00
price for USA in USD
  • 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 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: September 23, 2016
  • ISBN 978-3-319-35567-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Low-Rank and Sparse Modeling for Visual Analysis
Editors
  • Yun Fu
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-12000-3
DOI
10.1007/978-3-319-12000-3
Hardcover ISBN
978-3-319-11999-1
Softcover ISBN
978-3-319-35567-2
Edition Number
1
Number of Pages
VII, 236
Number of Illustrations
15 b/w illustrations, 51 illustrations in colour
Topics