Machine understanding : machine perception and machine perception MU
著者
書誌事項
Machine understanding : machine perception and machine perception MU
（Studies in computational intelligence, 842）
Springer, c2020
- : pbk
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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.
「Nielsen BookData」 より