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Bayesian Modeling of Uncertainty in Low-Level Vision - The Springer International Series in Engineering and Computer Science Richard Szeliski Softcover reprint of the original 1st ed. 1989 edition
Bayesian Modeling of Uncertainty in Low-Level Vision - The Springer International Series in Engineering and Computer Science
Richard Szeliski
First, he presents a systematic Bayesian probabilistic estimation framework in which we can define and compute the prior model, the sensor model, and the posterior model.
198 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 7, 2011 |
| ISBN13 | 9781461289043 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 198 |
| Dimensions | 155 × 235 × 12 mm · 312 g |
| Language | English |
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