Machine understanding : machine perception and machine perception MU / Zbigniew Les, Magdalena, Les.

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-visua...

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Bibliographic Details
Main Authors: Les, Zbigniew (Author), Les, Magdalena (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:Studies in computational intelligence ; v. 842.
Subjects:
Online Access:Click for online access

MARC

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100 1 |a Les, Zbigniew,  |e author. 
245 1 0 |a Machine understanding :  |b machine perception and machine perception MU /  |c Zbigniew Les, Magdalena, Les. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2020] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-9503 ;  |v volume 842 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed August 5, 2019). 
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. 
650 0 |a Perception. 
650 0 |a Senses and sensation. 
650 7 |a artificial intelligence.  |2 aat 
650 7 |a Artificial intelligence  |2 fast 
650 7 |a Perception  |2 fast 
650 7 |a Senses and sensation  |2 fast 
700 1 |a Les, Magdalena,  |e author. 
776 0 8 |i Print version:  |a Les, Zbigniew.  |t Machine understanding.  |d Cham, Switzerland : Springer, [2020]  |z 303024069X  |z 9783030240691  |w (OCoLC)1102646344 
830 0 |a Studies in computational intelligence ;  |v v. 842. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-24070-7  |y Click for online access 
903 |a SPRING-ROBOTICS2020 
994 |a 92  |b HCD