| 书目名称 | Machine Understanding |
| 副标题 | Machine Perception a |
| 编辑 | Zbigniew Les,Magdalena Les |
| 视频video | |
| 概述 | 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 |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2020 |
| 关键词 | Computational Intelligence; Shape Understanding System; Machine Understanding; Complex Object Concept; K |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-24070-7 |
| isbn_softcover | 978-3-030-24072-1 |
| isbn_ebook | 978-3-030-24070-7Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 16:12:54
