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...
Full description
Saved in:
| Other Authors: |
Fu, Yun,, SpringerLink (Online service) |
| Format: |
eBook
|
| Language: |
English
|
| Published: |
Cham :
Springer,
2014.
|
| Physical Description: |
1 online resource (vii, 236 pages) : illustrations (some color)
|
| Subjects: |
|