26 July 1993 Neural networks, recognition based on differences
Author Affiliations +
Proceedings Volume 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology; 19835D (1993) https://doi.org/10.1117/12.2308612
Event: 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 1993, Budapest, Hungary
Abstract
The concept of similarity is fundamental to pattern recognition and associative memories. In recent years many mathematical models with various neural network struc- tures and different learning algorithms have been proposed. Generally in these mo- dels, the neural network emphasizes the association within the stored objects, and such models are quite effective under the assumption that the stored objects signifi- cantly differ from one another (are independent)1. Unfortunately, in practice, the objects are usually not independent, moreover, the differences among the patterns are often very small, and recognition methods based on the similar features fail. Having a number of similar objects, for example human faces, with many features identical, what features do we use to recognize a particular individual?
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacek Mandziuk, "Neural networks, recognition based on differences", Proc. SPIE 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 19835D (26 July 1993); doi: 10.1117/12.2308612; https://doi.org/10.1117/12.2308612
PROCEEDINGS
2 PAGES


SHARE
Back to Top