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Perception as Bayesian Inference David C Knill
Perception as Bayesian Inference
David C Knill
This 1996 book describes an exciting paradigm for building and testing theories of human visual perception based on Bayesian probability theory. Leading researchers in computer vision and experimental vision science describe theoretical frameworks, applications to specific problems, and implications for experimental studies.
530 pages, 140 b/w illus.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 13 septembre 1996 |
| ISBN13 | 9780521461092 |
| Éditeurs | Cambridge University Press |
| Pages | 530 |
| Dimensions | 178 × 254 × 29 mm · 1,16 kg |
| Langue et grammaire | Anglais |
| Éditeur | Knill, David C. (University of Pennsylvania) |
| Éditeur | Richards, Whitman (Massachusetts Institute of Technology) |
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