Perception as Bayesian Inference
Perception as Bayesian Inference
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Résumé
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.
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Perception as Bayesian Inference by David C Knill
Bayesian probability theory has emerged not only as a powerful tool for building computational theories of vision, but also as a general paradigm for studying human visual perception. This 1996 book provides an introduction to and critical analysis of the Bayesian paradigm. Leading researchers in computer vision and experimental vision science describe general theoretical frameworks for modelling vision, detailed applications to specific problems and implications for experimental studies of human perception. The book provides a dialogue between different perspectives both within chapters, which draw on insights from experimental and computational work, and between chapters, through commentaries written by the contributors on each others' work. Students and researchers in cognitive and visual science will find much to interest them in this thought-provoking collection.| SKU | Non disponible |
| ISBN 13 | 9780521064996 |
| ISBN 10 | 0521064996 |
| Titre | Perception as Bayesian Inference |
| Auteur | David C Knill |
| État | Non disponible |
| Type de reliure | Paperback |
| Éditeur | Cambridge University Press |
| Année de publication | 2008-06-12 |
| Nombre de pages | 532 |
| Note de couverture | La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier. |
| Note | Non disponible |