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Robust Recognition via Information Theoretic Learning - SpringerBriefs in Computer Science Ran He 2014 edition
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
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2014年9月9日 |
| ISBN13 | 9783319074153 |
| 出版商 | Springer International Publishing AG |
| 页数 | 110 |
| 商品尺寸 | 155 × 235 × 7 mm · 201 g |
| 语言 | 德语 |
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