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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).
364 pages, 8 black & white tables, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 2, 2014 |
| ISBN13 | 9781447156932 |
| Publishers | Springer London Ltd |
| Pages | 364 |
| Dimensions | 155 × 235 × 20 mm · 535 g |
| Language | English |
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