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Springer

Low-Rank and Sparse Modeling for Visual Analysis

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Product Code: 9783319119991
ISBN13: 9783319119991
Condition: New
$118.37

Low-Rank and Sparse Modeling for Visual Analysis

$118.37
 
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.


Author: Yun Fu
Publisher: Springer
Publication Date: Nov 19, 2014
Number of Pages: 236 pages
Binding: Hardback or Cased Book
ISBN-10: 3319119990
ISBN-13: 9783319119991
 

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