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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 21 de octubre de 2016 |
| ISBN13 | 9783319450254 |
| Editores | Springer International Publishing AG |
| Páginas | 208 |
| Dimensiones | 155 × 235 × 17 mm · 562 g |
| Lengua | Francés |
| Editor | Minh, Ha Quang |
| Editor | Murino, Vittorio |