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Low-Rank and Sparse Modeling for Visual Analysis

Editors: Fu, Yun (Ed.)

  • 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
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Buy this book

eBook $84.99
price for USA (gross)
  • 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 $109.00
price for USA
  • ISBN 978-3-319-11999-1
  • 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: September 23, 2016
  • ISBN 978-3-319-35567-2
  • Free shipping for individuals worldwide
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)

  • Nonlinearly Structured Low-Rank Approximation

    Markovsky, Ivan (et al.)

    Pages 1-22

  • Latent Low-Rank Representation

    Liu, Guangcan (et al.)

    Pages 23-38

  • Scalable Low-Rank Representation

    Liu, Guangcan (et al.)

    Pages 39-60

  • Low-Rank and Sparse Dictionary Learning

    Li, Sheng (et al.)

    Pages 61-85

  • Low-Rank Transfer Learning

    Shao, Ming (et al.)

    Pages 87-115

Buy this book

eBook $84.99
price for USA (gross)
  • 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 $109.00
price for USA
  • ISBN 978-3-319-11999-1
  • 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: September 23, 2016
  • ISBN 978-3-319-35567-2
  • Free shipping for individuals worldwide
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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 and Tables
15 b/w illustrations, 51 illustrations in colour
Topics