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Self-organization for the Detection of Local Features

Publication at Faculty of Mathematics and Physics |
2009

Abstract

The article compares several models of self-organizing neural networks with respect to their application for detection of local features in data. Emphasis of the article is on the growing models of self-organizing networks.