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OverviewThis 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. Full Product DetailsAuthor: Yun FuPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2014 ed. Dimensions: Width: 15.50cm , Height: 1.60cm , Length: 23.50cm Weight: 5.354kg ISBN: 9783319119991ISBN 10: 3319119990 Pages: 236 Publication Date: 19 November 2014 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationYun Fu is an Assistant Professor, ECE and CS, Northeastern University Tab Content 6Author Website:Countries AvailableAll regions |
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