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Machine understanding = machine perc...

Les, Zbigniew.

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Machine understanding = machine perception and machine perception MU /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine understanding/ by Zbigniew Les, Magdalena Les.
Reminder of title:	machine perception and machine perception MU /
Author:	Les, Zbigniew.
other author:	Les, Magdalena.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xvii, 215 p. :ill., digital ;24 cm.
[NT 15003449]:	Human Perception -- Machine Perception - Machine Perception MU -- Machine Perception MU - Shape Classes -- Machine Perception MU - 3D Object Classes -- Machine Perception MU - Picture Classes -- Machine Perception MU - Perceptual Transformation -- Machine Perception MU - Visual Reasoning -- Machine Perception MU - Problem Solving -- Machine Perception MU - Visual Intelligence Tests.
Contained By:	Springer eBooks
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-24070-7
ISBN:	9783030240707

Machine understanding = machine perception and machine perception MU /
Les, Zbigniew.

Machine understandingmachine perception and machine perception MU /[electronic resource] :by Zbigniew Les, Magdalena Les. - Cham :Springer International Publishing :2020. - xvii, 215 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8421860-949X ;. - Studies in computational intelligence ;v.842..

Human Perception -- Machine Perception - Machine Perception MU -- Machine Perception MU - Shape Classes -- Machine Perception MU - 3D Object Classes -- Machine Perception MU - Picture Classes -- Machine Perception MU - Perceptual Transformation -- Machine Perception MU - Visual Reasoning -- Machine Perception MU - Problem Solving -- Machine Perception MU - Visual Intelligence Tests.

This unique book discusses machine understanding (MU) This new branch of classic machine perception research focuses on perception that leads to understanding and is based on the categories of sensory objects. In this approach the visual and non-visual knowledge, in the form of visual and non-visual concepts, is used in the complex reasoning process that leads to understanding. The book presents selected new concepts, such as perceptual transformations, within the machine understanding framework, and uses perceptual transformations to solve perceptual problems (visual intelligence tests) during understanding, where understanding is regarded as an ability to solve complex visual problems described in the authors' previous books. Thanks to the uniqueness of the research topics covered, the book appeals to researchers from a wide range of disciplines, especially computer science, cognitive science and philosophy.

ISBN: 9783030240707

Standard No.: 10.1007/978-3-030-24070-7doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: TA347.A78

Dewey Class. No.: 006.3

Machine understanding = machine perception and machine perception MU /
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100 1 $a Les, Zbigniew. $3 899649
245 1 0 $a Machine understanding $h [electronic resource] : $b machine perception and machine perception MU / $c by Zbigniew Les, Magdalena Les.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 215 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.842
505 0 $a Human Perception -- Machine Perception - Machine Perception MU -- Machine Perception MU - Shape Classes -- Machine Perception MU - 3D Object Classes -- Machine Perception MU - Picture Classes -- Machine Perception MU - Perceptual Transformation -- Machine Perception MU - Visual Reasoning -- Machine Perception MU - Problem Solving -- Machine Perception MU - Visual Intelligence Tests.
520 $a This unique book discusses machine understanding (MU) This new branch of classic machine perception research focuses on perception that leads to understanding and is based on the categories of sensory objects. In this approach the visual and non-visual knowledge, in the form of visual and non-visual concepts, is used in the complex reasoning process that leads to understanding. The book presents selected new concepts, such as perceptual transformations, within the machine understanding framework, and uses perceptual transformations to solve perceptual problems (visual intelligence tests) during understanding, where understanding is regarded as an ability to solve complex visual problems described in the authors' previous books. Thanks to the uniqueness of the research topics covered, the book appeals to researchers from a wide range of disciplines, especially computer science, cognitive science and philosophy.
650 0 $a Artificial intelligence. $3 516317
650 0 $a Perception. $3 527749
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650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Les, Magdalena. $3 899648
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856 4 0 $u https://doi.org/10.1007/978-3-030-24070-7
950 $a Intelligent Technologies and Robotics (Springer-42732)