Perception as Bayesian Inference
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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 | NIN9780521064996 |
| ISBN 13 | 9780521064996 |
| ISBN 10 | 0521064996 |
| Title | Perception as Bayesian Inference |
| Author | David C Knill |
| Condition | New |
| Binding Type | Paperback |
| Publisher | Cambridge University Press |
| Year published | 2008-06-12 |
| Number of pages | 532 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time |
