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Low-Rank and Sparse Modeling for Visual Analysis

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Low-Rank and Sparse Modeling for Visual Analysis Yun Fu
Koda Libristo: 13659172
Založba Springer International Publishing AG, oktober 2016
This book provides a view of low-rank and sparse computing, especially approximation, recovery, repr... Celoten opis
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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.

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O knjigi

Polni naslov Low-Rank and Sparse Modeling for Visual Analysis
Avtor Yun Fu
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2016
Število strani 236
EAN 9783319355672
ISBN 3319355678
Koda Libristo 13659172
Založba Springer International Publishing AG
Teža 3752
Mere 155 x 235 x 15

Kategorije

Technology, Engineering, Agriculture > Other technologies & applied sciences > Applied optics > Imaging systems & technology
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer science > Signal processing
Computing & Information Technology > Computer science > Image processing
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