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Robust Computer Vision: Theory and Applications - Computational Imaging and Vision Nicu Sebe 2003 edition
Robust Computer Vision: Theory and Applications - Computational Imaging and Vision
Nicu Sebe
Describing some of the probabilistic machine learning methods, this work uses Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models. Designed for both experts and novices in computer vision, it focuses on three aspects: features, similarity metric, and models.
215 pages, biography
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | April 30, 2003 |
| ISBN13 | 9781402012938 |
| Publishers | Kluwer Academic Publishers |
| Pages | 215 |
| Dimensions | 210 × 297 × 14 mm · 557 g |
| Language | English |