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Proceedings Paper

Class-prototype extraction from a finite number of input patterns as a generalization of their distortion-level ordering
Author(s): Ranko Babic
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Paper Abstract

Based on mathematical interpretation of fundamental principles related to human visual perception in the case of contour as a general geometrical figure, it is proposed a procedure for class-prototype reconstruction from a limited number of contour-samples belonging to the class. The procedure itself comprises the ordering of given contour-samples into a sequence according to the criterion and value of their mutual distortion, defining adequate mathematical characteristic of distortion trend within the sequence and subsequent reconstruction of approximate class-prototype shape, that is refined afterward by taking into account the assumed property of prototype symmetry. Finally, a global structure of artificial neural system is presented, that could be capable to fulfill the described procedure.

Paper Details

Date Published: 19 August 1993
PDF: 9 pages
Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); doi: 10.1117/12.152631
Show Author Affiliations
Ranko Babic, Univ. of Pristina (Serbia)


Published in SPIE Proceedings Vol. 1966:
Science of Artificial Neural Networks II
Dennis W. Ruck, Editor(s)

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