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This book provides a view of lowrank 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 HumanCentered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and HumanComputer Interaction. Contains an overview of the lowrank and sparse modeling techniques for visual analysis by examining both theoretical analysis and realworld applications.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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