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Representation is Representation of Similarities
Mekhon Ṿaitsman le-madaʻ. Department of Applied Mathematics and Computer Science
Shimon Edelman
出版
Weizmann Institute of Science, Department of Applied Mathematics and Computer Science
, 1996
URL
http://books.google.com.hk/books?id=_pIoHAAACAAJ&hl=&source=gbs_api
註釋
Abstract: "Intelligent systems are faced with the problem of securing a principled relationship between the world and its internal representation. I propose a unified approach to visual representation, based on Shepard's (1968) notion of second-order isomorphism. According to the proposed theory, a shape is represented by its similarity to a number of reference shapes, measured in a high-dimensional space of elementary features. The result is a philosophically appealing, computationally feasible and formally veridical representation of a distal shape space, which addresses the needs of shape categorization and can be used to derive a range of models of perceived similarity."