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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
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 9 septembre 2014 |
| ISBN13 | 9783319074153 |
| Éditeurs | Springer International Publishing AG |
| Pages | 110 |
| Dimensions | 155 × 235 × 7 mm · 201 g |
| Langue et grammaire | Allemand |
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