richards whitman (18 Ergebnisse)

Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Paperback. Zustand: Used-Very Good. Pbk. Some shelf-wear. Else clean copy.

Zustand: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

Hardcover. Zustand: Very Good. pp.xix, 268p, many figures, a very good hardback (publisher's laminated boards), ex-library [0893912549].

Softcover. Zustand: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Petite(s) trace(s) de pliure sur la couverture. Couverture légèrement déchirée. Salissures sur la tranche. Edition 1988. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisa ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Slightly creased cover. Slightly torn cover. Stains on the edge. Edition 1988. Ammareal gives back up to 15% of this item's net price to charity organizations.

Zustand: Very Good. First edition copy. . (computer, technology, computer vision).

Zustand: as new. Cambridge, MA: The MIT Press, 1988. Paperback. 480 pp.- Designed for the MIT course, Natural Computation, this extensive book of readings combines mathematics, artificial intelligence, computer science, experimental psychology, and neurophysiology in studying perception. Mathematics is emphasized for making perceptual inferences and the spectrum of mathematical techniques used is very broad. While the more than thirty readings focus primarily on vision, they also encompass the study of sound perception and the interpretation and application of forces including movement. Each article is a self contained example of how a perceptual problem may be tackled and solved. For example, what makes wood look like wood not like stone, sand, or grass? How can we represent three dimensional shapes when the same shape is rarely seen in exactly the same way? Each of the five sections is preceded by an introduction and the book concludes with problem sets. English text. Condition : as new. Condition : as new copy. ISBN 9780262680554. Keywords : , perception.

Zustand: good. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDGood, trade paperback book, sunned, 263 pages, 4to.

Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Couverture différente. Edition 1984. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Different cover. Edition 1984. Ammareal gives back up to 15% of this item's net price to charity organizations.

Gebunden. Zustand: New. The volumes in this series contain studies in computational vision or image understanding , and explain the computations that underlie the extraction and use of visual information by both biological and artificial systems. Reprints of seminal studies are i.

Buch. Zustand: Neu. Neuware - The volumes in this series contain studies in computational vision or 'image understanding', and explain the computations that underlie the extraction and use of visual information by both biological and artificial systems. Reprints of seminal studies are included along with the original articles.

Zustand: VG. Norwood 1990. 8vo., 233pp., illus., index. VG-Fine, no DJ.

Hardback. Zustand: 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.

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

Zustand: 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.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.