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Learning templates from fuzzy examples in structural pattern recognition

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1 Author(s)
Kwok-Ping Chan ; Dept. of Comput. Sci., Hong Kong Univ., Hong Kong

A fuzzy-attribute graph (FAG) has been proposed to handle fuzziness in the pattern primitives in structural pattern recognition. FAG has the advantage that one can combine several possible definitions into a single template. However, the template requires human expert definition. In this paper, the author proposes an algorithm that can, from a number of fuzzy instances, find a template that can be matched to the patterns by the original matching metric

Published in:

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Date of Conference:

26-29 Jun 1994

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