EAN: 9783319119991

LOW-RANK AND SPARSE MODELING FOR VISUAL ANALYSI...

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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