This 1996 book describes an exciting theoretical paradigm for visual perception based on experimental and computational insights.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 14,90 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoEUR 38,47 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoLibrería: Buchpark, Trebbin, Alemania
Condición: Gut. Zustand: Gut | Seiten: 530 | Sprache: Englisch | Produktart: Sonstiges. Nº de ref. del artículo: 1282463/3
Cantidad disponible: 2 disponibles
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
Cantidad disponible: 1 disponibles
Librería: BennettBooksLtd, North Las Vegas, NV, Estados Unidos de America
hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-052146109X
Cantidad disponible: 1 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9780521461092_new
Cantidad disponible: Más de 20 disponibles
Librería: moluna, Greven, Alemania
Gebunden. 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. Nº de ref. del artículo: 446936497
Cantidad disponible: Más de 20 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9780521461092
Cantidad disponible: Más de 20 disponibles
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
Cantidad disponible: 1 disponibles
Librería: Mispah books, Redhill, SURRE, Reino Unido
Hardcover. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA775052146109X6
Cantidad disponible: 1 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Hardcover. Condición: new. Hardcover. 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. This 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 modeling 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 other's work. Students and researchers in cognitive and visual science will find much to interest them in this thought-provoking collection. Describes a new 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780521461092
Cantidad disponible: 1 disponibles
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New. Nº de ref. del artículo: ABLIING23Feb2416190003735
Cantidad disponible: Más de 20 disponibles