Low-rank and sparse modeling for visual analysis
Éditeur :
Springer International Publishing AG
ISBN :
9783319355672
Date de publication :
1 oct. 2016
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.