Ghosh, Hiranmay, <br/><br/>
Computational models for cognitive vision / 
Hiranmay Ghosh. 
 - 1 online resource 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Early vision -- Bayesian reasoning for perception and cognition -- Late vision -- Visual attention -- Cognitive architectures -- Knowledge representation for cognitive vision -- Deep learning for visual cognition -- Applications of visual cognition. 
<br/><br/> "This book focuses on computing aspects and shows how the cognitive principles borrowed from other disciplines can be used to solve problems of computer vision. The book begins with an introduction to the problems of computer vision and why cognitive principles should be used to solve these problems. Then it moves on to a discussion of deductive, inductive, and abductive reasoning and the psychological observations and deductions of various theories and models of cognitive vision. Other topics covered include knowledge representation techniques, evolution of cognitive architectures, machine learning approaches, and more. The book ends with salient observations and future research directions"-- 
<br/><br/><label>ISBN: </label>9781119527886 1119527880 9781119527893 1119527899 9781119527855 1119527856 
<br/><br/><label>Source: </label>9781119527893  Wiley 
<br/><br/><label>LCCN: </label>2020003785 
<br/><br/><label>Nat. Bib. No.: </label>GBC063182  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>019802063  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer vision.<br/>Cognitive science.<br/>Visual perception.<br/>Bayesian statistical decision theory.<br/>Bayesian statistical decision theory.<br/>Cognitive science.<br/>Computer vision.<br/>Visual perception.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>TA1634 
<br/><br/><label>Dewey Class. No.: </label>006.3/7