Kniha Low-Rank and Sparse Modeling for Visual Analysis Yun Fu

Low-Rank and Sparse Modeling for Visual Analysis

Autor: Yun Fu
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
2 286
This book provides a view of low-rank and sparse computing, especially approximation, recovery, repr...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2016
Stránek
236
EAN
9783319355672
ISBN
3319355678
Enbook ID
13659172
Hmotnost
3752
Rozměry
155 x 235 x 15

Kompletní popis

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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