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Low-rank and Sparse Modeling for Visual Analysis (Reprint) (Paperback)

Low-rank and Sparse Modeling for Visual Analysis (Reprint) (Paperback) - image 1 of 1

About this item

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.
Edition: Reprint
Genre: Computers + Internet, Technology
Format: Paperback
Publisher: Springer-Verlag New York Inc
Language: English
Street Date: August 26, 2016
TCIN: 51569567
UPC: 9783319355672
Item Number (DPCI): 248-26-1316
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