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Machine Understanding

Machine Perception and Machine Perception MU

  • Book
  • © 2020

Overview

Authors:
  1. Zbigniew Les

    1. The St. Queen Jadwiga Research Institute of Understanding, Toorak, Melbourne, Australia

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    You can also search for this author in PubMed   Google Scholar

  2. Magdalena Les

    1. The St. Queen Jadwiga Research Institute of Understanding, Toorak, Melbourne, Australia

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

Part of the book series: Studies in Computational Intelligence (SCI, volume 842)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Human Perception

    • Zbigniew Les, Magdalena Les
    Pages 1-8

  3. Machine Perception—Machine Perception MU

    • Zbigniew Les, Magdalena Les
    Pages 9-44

  4. Machine Perception MU—Shape Classes

    • Zbigniew Les, Magdalena Les
    Pages 45-62

  5. Machine Perception MU—3D Object Classes

    • Zbigniew Les, Magdalena Les
    Pages 63-73

  6. Machine Perception MU—Picture Classes

    • Zbigniew Les, Magdalena Les
    Pages 75-95

  7. Machine Perception MU—Perceptual Transformation

    • Zbigniew Les, Magdalena Les
    Pages 97-118

  8. Machine Perception MU—Visual Reasoning

    • Zbigniew Les, Magdalena Les
    Pages 119-140

  9. Machine Perception MU—Problem Solving

    • Zbigniew Les, Magdalena Les
    Pages 141-179

  10. Machine Perception MU—Visual Intelligence Tests

    • Zbigniew Les, Magdalena Les
    Pages 181-215
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Keywords

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.



Authors and Affiliations

  • The St. Queen Jadwiga Research Institute of Understanding, Toorak, Melbourne, Australia

    Zbigniew Les, Magdalena Les

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