Low-Rank and Sparse Modeling for Visual Analysis
ISBN-13:
9783319119991
ISBN-10:
3319119990
Edition:
2014
Author:
Yun Fu
Publication date:
2014
Publisher:
Springer
Format:
Hardcover
243 pages
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Book details
ISBN-13:
9783319119991
ISBN-10:
3319119990
Edition:
2014
Author:
Yun Fu
Publication date:
2014
Publisher:
Springer
Format:
Hardcover
243 pages
Summary
Low-Rank and Sparse Modeling for Visual Analysis (ISBN-13: 9783319119991 and ISBN-10: 3319119990), written by authors
Yun Fu, was published by Springer in 2014.
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Description
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.
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