Knill David C (36 results)

23,5 x 15,5 cm. Condition: Gut. 1. Auflage. 359 Seiten Innen sauberer, guter Zustand. Hardcover, Pappeinband mit Kunstlederbezug, mit den üblichen Bibliotheks-Markierungen, Stempeln und Einträgen, innen wie außen, siehe Bilder. Goldener Titeldruck. - Inside clean, good condition. Hardcover, paperback with leatherette cover, with the usual library markings, stamps and inscriptions, inside and out, see pictures. Gilt title printing. - Apa Science Volumes. B11-02-04I|A58 Sprache: Englisch Gewicht in Gramm: 771. …

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Condition: Good. 1st. edition. Boards with dustwrapper v-xiv. 359 pp. Light traces of use on dustwrapper. Afterword, index, about the editors. 23x16x3.1 cm. In very good condition. [Parcel service].

Condition: New.

Condition: New. Satisfaction Guaranteed or your money back.

Paperback. Condition: New.

Condition: 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. . . . .…

Condition: New. In English.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: 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.…

Hardback. Condition: 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.

Hardcover. Condition: Very Good. Very Good .Ships From Multiple Locations. book.

Condition: very_good.

Taschenbuch. Condition: 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.…

Condition: 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.…

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New.

Condition: New. In English.

Condition: 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: 530 pages, 140 b/w illus. BIC Classification: JMM; JMRP; PSAN; UYQV. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 29. Weight in Grams: 1163. . 1996. hardcover. . . . .…

Hardcover. Condition: gut. 1992. Cognition Conceptual and Methodological Issues In englischer Sprache. pages.

Condition: New. pp. 530.

Condition: 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: 530 pages, 140 b/w illus. BIC Classification: JMM; JMRP; PSAN; UYQV. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 29. Weight in Grams: 1163. . 1996. hardcover. . . . . Books ship from the US and Ireland.…

Buch. Condition: 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.…

Condition: 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.

Condition: New. Print on Demand pp. 532.

Condition: New. PRINT ON DEMAND pp. 532.

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

Paperback. Condition: 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.…

Condition: 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.…