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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 Softcover reprint of the original 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.
208 pages, 50 Tables, color; 51 Illustrations, color; 4 Illustrations, black and white; XIV, 208 p.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | June 28, 2018 |
| ISBN13 | 9783319831909 |
| Publishers | Springer International Publishing AG |
| Pages | 208 |
| Dimensions | 150 × 220 × 10 mm · 419 g (Weight (estimated)) |
| Language | German |
| Editor | Minh, Ha Quang |
| Editor | Murino, Vittorio |