Low-Rank and Sparse Modeling for Visual Analysis
Softcover reprint of the original 1st ed. 2014
Book Details
Format
Paperback / Softback
ISBN-10
3319355678
ISBN-13
9783319355672
Edition
Softcover reprint of the original 1st ed. 2014
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
Oct 1st, 2016
Print length
236 Pages
Ksh 16,200.00
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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.
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.
Get Low-Rank and Sparse Modeling for Visual Analysis by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has pages.
