Machine Understanding: Machine Perception and Machine Perception MU: 842 - Brossura

Les, Zbigniew; Les, Magdalena

Brossura

ISBN 10: 303024072X ISBN 13: 9783030240721

Casa editrice: Springer, 2020

Riassunto

Describes recent research in Shape Understanding Systems
Presents new results on machine understanding and knowledge implementation
Written by experts in the field

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 303024072X
• ISBN 13: 9783030240721
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 236
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania