Low-Rank and Sparse Modeling for Visual Analysis

by Yun Fu

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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.

Format:Hardcover

Language:English

ISBN:3319119990

ISBN13:9783319119991

Release Date:November 2014

Publisher:Springer

Length:236 Pages

Weight:1.15 lbs.

Dimensions:0.6" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology Engineering Technology

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Low-Rank and Sparse Modeling for Visual Analysis

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