laurence maloney (33 risultati)

Hardcover. Condizione: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations.

Hardcover. 344 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9780387945637 Sprache: Englisch Gewicht in Gramm: 900.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma­ chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com­ puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys­ tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This "neuro­ morphic" or "anthropomorphic" approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex­ ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor­ of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems.

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Condizione: New. pp. 368.

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

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Taschenbuch. Condizione: Neu. Exploratory Vision | The Active Eye | Michael S. Landy (u. a.) | Taschenbuch | xviii | Englisch | 2011 | Springer US | EAN 9781461284604 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condizione: Brand New. reprint edition. 362 pages. 9.25x6.10x0.24 inches. In Stock.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This 'neuro morphic' or 'anthropomorphic' approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems.

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Buch. Condizione: Neu. Neuware - Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This 'neuro morphic' or 'anthropomorphic' approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems.

Encuadernación de tapa blanda. Condizione: Bien. Condizione sovraccoperta: Bien. Essays "American Myths," J. Hoberman on Lost Las Vegas; "Books: Larissa MacFarguhar on Robert Woolley's 'Going Once,'" by Larissa MacFarquhar; "Books: Martha Frankel on Norman Mailer's 'Portrait of Picasso as a Young Man,'" by Martha Frankel; "Books: Peter Plagens on Christopher Knight's 'Last Chance for Eden,'" by Peter Plagens; "Books: J. Hills Miller on W. J. T. Mitchell's 'Picture Theory,'" by J. Hillis Miller; "Preview: Daniel Birnbaum talks with the Louisiana's Lars Nittve"; "Letter from London," by Louisa Buck; "Martin Maloney on the Turner Prize," by Martin Maloney; "James Hall on 'Brilliant! New Art from London,'" by James Hall; "Gadget Love: Brian D'Amato on Cybersalons," by Brian D'Amato; "Real Life Rock: Jeff Weinstein's Top Ten," by Jeff Weinstein; "Old Softies: Claes Oldenburg in Retrospect," by Jeff Weinstein; "Solitary Refinement: Marilyn Minter's 'Coral Ridge Towers,'" by Bruce Hainley; "The Subject in Question: Richard Shiff reviews 'Howard Hodgkin: Paintings 1975-1995,'" by Richard Shiff; "The Subject in Question," A.M. Homes Talks with Howard Hodgkin; "Theory on TV: Gadget Goes to Florida," Laurence A. Rickels talks with Gregory Ulmer; "Joan Mitchell: Les Bluets," by Lydia Davis; "Olivier Zahm's Hot Shots," fashion by Hussein Chalayan, photographs by Mark Borthwick; "Openings: Alex Bag," by Bruce Hainley. Reviews by Ernest Pascucci, David Frankel, Barry Schwabsky, Mark Van de Walle, Marek Bartelik, Donald Kuspit, Keith Seward, Thomas McEvilley, Linda Yablonsky, Ingrid Schaffner, Nico Israel, Justin Spring, Tom Moody, John Ash, RoseLee Goldberg, Francine Koslow Miller, David Carrier, James Yood, Lisa Anne Auerbach, Laura U. Marks, John K. Grande, Yishai Jusidman, Menene Gras Balaguer, Massimo Carboni, Giorgio Verzotti, Jérôme Sans, Miriam Rosen, Christian Kravagna, Noemi Smolik, Yilmaz Dziewior, and Jean Fisher. Cover: Alex Bag.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined. The authors also consider the application of mixed-effects models to psychophysical data.R is an open-source programming language that is widely used by statisticians and is seeing enormous growth in its application to data in all fields. It is interactive, containing many powerful facilities for optimization, model evaluation, model selection, and graphical display of data. The reader who fits data in R can readily make use of these methods. The researcher who uses R to fit and model his data has access to most recently developed statistical methods.This book does not assume that the reader is familiar with R, and a little experience with any programming language is all that is needed to appreciate this book. There are large numbers of examples of R in the text and the source code for all examples is available in an R package MPDiR available through R. Kenneth Knoblauch is a researcher in the Department of Integrative Neurosciences in Inserm Unit 846, The Stem Cell and Brain Research Institute and associated with the University Claude Bernard, Lyon 1, in France. Laurence T. Maloney is Professor of Psychology and Neural Science at New York University. His research focusses on applications of mathematical models to perception, motor control and decision making. 384 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This 'neuro morphic' or 'anthropomorphic' approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems. 368 pp. Englisch.