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Low-Rank and Sparse Modeling for Visual Analysis Softcover reprint of the original 1st ed. 2014 edition
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.
243 pages, 15 black & white illustrations, 51 colour illustrations, 32 black & white tables, biograp
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2016. gada 1. oktobris |
| ISBN13 | 9783319355672 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 236 |
| Izmēri | 155 × 235 × 13 mm · 349 g |
| Valoda | Vācu |
| Redaktors | Fu, Yun |