Low-Rank and Sparse Modeling for Visual Analysis
This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding, and learning among unconstrained visual data. Included in the book are chapters covering multiple emerging topics in this new field. The text links multiple pop...
| Published in: | Springer eBooks |
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| Format: | eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Online Access: | http://dx.doi.org/10.1007/978-3-319-12000-3 Перейти в каталог НБ ТГУ |