9780521064996 - Perception as Bayesian Inference de Knill, David C. (15 resultados)

Condición: New.

Condición: New. In.

Paperback. Condición: New.

Condición: New. This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights. Editor(s): Knill, David C.; Richards, Whitman. Num Pages: 532 pages, 140 b/w illus. BIC Classification: JMM; JMRP; PSAN; UYQV. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 27. Weight in Grams: 910. . 2008. 1st Edition. paperback. . . . .

Condición: New. This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights. Editor(s): Knill, David C.; Richards, Whitman. Num Pages: 532 pages, 140 b/w illus. BIC Classification: JMM; JMRP; PSAN; UYQV. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 27. Weight in Grams: 910. . 2008. 1st Edition. paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Paperback. Condición: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand pp. 532 66:B&W 7 x 10 in or 254 x 178 mm Perfect Bound on White w/Gloss Lam.

Condición: New. Print on Demand pp. 532.

Paperback. Condición: Brand New. 1st edition. 528 pages. 9.80x6.90x1.30 inches. In Stock. This item is printed on demand.

Condición: New. PRINT ON DEMAND pp. 532.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Condición: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, applicat.

Taschenbuch. Condición: Neu. Perception as Bayesian Inference | David C. Knill (u. a.) | Taschenbuch | Englisch | 2008 | Cambridge University Press | EAN 9780521064996 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.