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Robust Recognition via Information Theoretic Learning - SpringerBriefs in Computer Science Ran He 2014 edition
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Robust Recognition via Information Theoretic Learning - SpringerBriefs in Computer Science
Ran He
this work brings them together, attempts to impart the theory, optimization and usage of information entropy. The authors resort to a new information theoretic concept, correntropy, as a robust measure and apply it to solve robust face recognition and object recognition problems.
121 pages, 4 black & white illustrations, 25 colour illustrations, 12 black & white tables, biograph
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2014. gada 9. septembris |
| ISBN13 | 9783319074153 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 110 |
| Izmēri | 155 × 235 × 7 mm · 201 g |
| Valoda | Vācu |
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