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Books > Computing & IT > Applications of computing > Image processing

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Low-Rank and Sparse Modeling for Visual Analysis (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R3,250
Discovery Miles 32 500
Repayment Terms: R305 pm x 12*
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Low-Rank and Sparse Modeling for Visual Analysis (Paperback, Softcover reprint of the original 1st ed. 2014): Yun Fu

Low-Rank and Sparse Modeling for Visual Analysis (Paperback, Softcover reprint of the original 1st ed. 2014)

Yun Fu

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Loot Price R3,250 Discovery Miles 32 500 | Repayment Terms: R305 pm x 12*

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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. 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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: October 2016
First published: 2014
Editors: Yun Fu
Dimensions: 235 x 155 x 13mm (L x W x T)
Format: Paperback
Pages: 236
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-3-319-35567-2
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-35567-8
Barcode: 9783319355672

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