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Making a Machine That Sees Like Us explains why and how our visual perceptions can provide us with an accurate representation of the world 'out there.'
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Zygmunt Pizlo is a professor of Psychological Sciences and of Electrical and Computer Engineering at Purdue University. He has published over 100 journal and conference papers on all aspects of vision as well as on problem-solving. In 2008, he published the first book devoted to 3D shape-perception.
Yunfeng Li is a postdoctoral fellow at Purdue University. His research interests focus on applying psychophysics and mathematics to explore and model human visual perception of 3D shapes and scenes, regularization and Bayesian methods, and human and robot visual navigation.
Tadamasa Sawada is a postdoctoral researcher in Department of Psychology at the Ohio State University. He received his Ph.D. from the Tokyo Institute of Technology in 2006 and worked as a postdoctoral researcher at Purdue University between 2006 and 2013.
Robert M. Steinman devoted most of his scientific career, which began in 1964, to sensory and perceptual process, heading this specialty area in the Department of Psychology at the University of Maryland in College Park until his retirement in 2008. Most of his publications, before collaborating on shape perception with Prof. Pizlo, were concerned with human eye movements. Prof. Steinman, with Prof. Azriel Rosenfeld of the Center for Automation Research at UMD, supervised Prof. Pizlo's doctoral degree in Psychology, which was awarded in 1991. Prof. Steinman has been collaborating with Prof. Pizlo in his studies of shape perception since 2000.
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MAKING A MACHINE THAT SEES C
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Making a Machine That Sees Like Us
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Making a Machine That Sees Like Us (Hardcover)
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ISBN 13: 9780199922543
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Hardcover. Zustand: new. Hardcover. Making a Machine That Sees Like Us explains why and how our visual perceptions can provide us with an accurate representation of the external world. Along the way, it tells the story of a machine (a computational model) built by the authors that solves the computationally difficult problem of seeing the way humans do. This accomplishment required a radical paradigm shift - one that challenged preconceptions about visual perception and tested the limits ofhuman behavior-modeling for practical application.The text balances scientific sophistication and compelling storytelling, making it accessible to both technical and general readers. Onlinedemonstrations and references to the authors' previously published papers detail how the machine was developed and what drove the ideas needed to make it work. The authors contextualize their new theory of shape perception by highlighting criticisms and opposing theories, offering readers a fascinating account not only of their revolutionary results, but of the scientific process that guided the way. Making a Machine That Sees Like Us explains why and how our visual perceptions can provide us with an accurate representation of the world 'out there.' Along the way, it tells the story of a machine (a computational model) built by the authors that solves the computationally difficult problem of seeing the way humans do. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9780199922543
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Making a Machine That Sees Like Us
Verlag:
Oxford University Press, 2014
ISBN 10: 0199922543
ISBN 13: 9780199922543
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Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Bestandsnummer des Verkäufers 20343524-5
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