Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

May 15, 1997, Vol. 9, No. 4, Pages 701-720
(doi: 10.1162/neco.1997.9.4.701)
© 1997 Massachusetts Institute of Technology
Similarity, Connectionism, and the Problem of Representation in Vision
Article PDF (380.57 KB)
Abstract

A representational scheme under which the ranking between represented similarities is isomorphic to the ranking between the corresponding shape similarities can support perfectly correct shape classification because it preserves the clustering of shapes according to the natural kinds prevailing in the external world. This article discusses the computational requirements of representation that preserves similarity ranks and points out the relative straightforwardness of its connectionist implementation.