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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
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
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | October 21, 2016 |
| ISBN13 | 9783319450254 |
| Publishers | Springer International Publishing AG |
| Pages | 208 |
| Dimensions | 155 × 235 × 17 mm · 562 g |
| Language | French |
| Editor | Minh, Ha Quang |
| Editor | Murino, Vittorio |