Low-Rank and Sparse Modeling for Visual Analysis

Name: Low-Rank and Sparse Modeling for Visual Analysis
Brand: Springer International Publishing AG
SKU: 9783319355672
Price: 16200 KES
Availability: OutOfStock
ISBN: 9783319355672

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

Product Classification: Electronics engineering Computer vision Digital signal processing (DSP)Signal processing Image processing

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 Yun Fu 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 236 pages.