Recognition of membership in classes

This paper presents an approach to the general problem of recognition of membership in classes which are known only from a set of their examples. A geometrical approach is taken where membership in classes is regarded measurable by metrics with which a set of points, representing different members o...

Full description

Saved in:
Bibliographic Details
Published in:I.R.E. transactions on information theory 1961-01, Vol.7 (1), p.44-50
Main Author: Sebestyen, G.
Format: Article
Language:English
Subjects:
Bonding
Contracts
Decision theory
Gaussian processes
Mathematical model
Medical diagnosis
Pattern recognition
Text recognition
Writing
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents an approach to the general problem of recognition of membership in classes which are known only from a set of their examples. A geometrical approach is taken where membership in classes is regarded measurable by metrics with which a set of points, representing different members of the same class, may be brought "close" to one another. For the case where classes are Gaussian processes, the method described herein and that of decision theory are found to agree. A practical application of the method to the automatically "learned" recognition of spoken numerals is described.
ISSN:0096-1000
0018-9448
2168-2712
DOI:10.1109/TIT.1961.1057617