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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In recent years, 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. The Bayesian approach provides new and powerful metaphors for conceptualizing visual perception, suggests novel questions to ask about perceptual processing, and provides the means to formalize theories of perception that make testable predictions about human perceptual performance. This book provides an introduction to and critical analysis of the Bayesian paradigm. Chapters by leading researchers in computational theory and experimental visual science introduce new theoretical frameworks for building perceptual theories, discuss the implications of the Bayesian paradigm for psychophysical studies of human perception, and describe specific applications of the approach. The editors have created a critical dialogue of ideas through the authors' commentaries on each others' chapters, conveying to the reader a unique appreciation for the issues and ideas raised in the book.
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Librería: BennettBooksLtd, Los Angeles, CA, Estados Unidos de America
hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-052146109X
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Librería: Walden Books, London, Reino Unido
Hardback. Condición: Very Good. Laminated boards, corners slightly bumped, owner's shelf mark on spine, some annotations in pen, binding tight. ; 7.5 X 1.25 X 10.5 inches; 530 pages. Nº de ref. del artículo: 56098
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Librería: Buchpark, Trebbin, Alemania
Condición: Gut. Zustand: Gut | Seiten: 530 | Sprache: Englisch | Produktart: Bücher | In recent years, 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. The Bayesian approach provides new and powerful metaphors for conceptualizing visual perception, suggests novel questions to ask about perceptual processing, and provides the means to formalize theories of perception that make testable predictions about human perceptual performance. This book provides an introduction to and critical analysis of the Bayesian paradigm. Chapters by leading researchers in computational theory and experimental visual science introduce new theoretical frameworks for building perceptual theories, discuss the implications of the Bayesian paradigm for psychophysical studies of human perception, and describe specific applications of the approach. The editors have created a critical dialogue of ideas through the authors' commentaries on each others' chapters, conveying to the reader a unique appreciation for the issues and ideas raised in the book. Nº de ref. del artículo: 1282463/3
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 516 pages. 10.50x7.50x1.25 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __052146109X
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