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Low-Rank and Sparse Modeling for Visual Analysis by Yun Fu 9783319119991

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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.

Book Information
ISBN 9783319119991
Author Yun Fu
Format Hardback
Page Count 236
Imprint Springer International Publishing AG
Publisher Springer International Publishing AG
Weight(grams) 5354g

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