Studies in Computational Intelligence

Machine Understanding

Machine Perception and Machine Perception MU

Authors: Les, Zbigniew, Les, Magdalena

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  • Describes recent research in Shape Understanding Systems
  • Presents new findings in the field of machine understanding and knowledge implementation
  • Written by experts in the field
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eBook $84.99
price for USA in USD
  • ISBN 978-3-030-24070-7
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Hardcover $149.99
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Softcover $109.99
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About this book

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.


Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-030-24070-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
Softcover $109.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Machine Understanding
Book Subtitle
Machine Perception and Machine Perception MU
Authors
Series Title
Studies in Computational Intelligence
Series Volume
842
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-24070-7
DOI
10.1007/978-3-030-24070-7
Hardcover ISBN
978-3-030-24069-1
Softcover ISBN
978-3-030-24072-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVII, 215
Topics