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Perception as Bayesian Inference

By: David C. (University of Pennsylvania) Knill (Author) , Whitman (Massachusetts Institute of Technology) Richards (Author)

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Ksh 9,350.00

Format: Paperback or Softback

ISBN-13: 9780521064996

Publisher: Cambridge University Press

Publication Date: Jun 12th, 2008

Weight: 906 grams

Dimension: 25.30 x 17.70 x 2.60 cms

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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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