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Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization - Advances in Computer Vision and Pattern Recognition 1st ed. 2016 edition
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Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization - Advances in Computer Vision and Pattern Recognition
This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields.
222 pages, 4 black & white illustrations, 51 colour illustrations, 50 colour tables, biography
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2016. gada 21. oktobris |
| ISBN13 | 9783319450254 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 208 |
| Izmēri | 155 × 235 × 17 mm · 562 g |
| Valoda | Franču |
| Redaktors | Minh, Ha Quang |
| Redaktors | Murino, Vittorio |
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