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Information Theory in Computer Vision and Pattern Recognition Francisco Escolano Ruiz 2009 edition
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Information Theory in Computer Vision and Pattern Recognition
Francisco Escolano Ruiz
Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others).
381 pages, 8 black & white tables, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | July 31, 2009 |
| ISBN13 | 9781848822962 |
| Publishers | Springer London Ltd |
| Pages | 364 |
| Dimensions | 155 × 235 × 22 mm · 680 g |
| Language | English |
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