Object representation with self-organising networks

Authors:
Anastassia Angelopoulou;Alexandra Psarrou;José García Rodríguez
Affiliations:
School of Electronics and Computer Science, University of Westminster, UK;School of Electronics and Computer Science, University of Westminster, UK;Department of Computing Technology, University of Alicante, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Year:
2011

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Abstract

This paper, aims to address the ability of self-organising networks to automatically extract and correspond landmark points using only topological relations derived from competitive hebbian learning. We discuss, how the Growing Neural Gas (GNG) algorithm can be used for the automatic extraction and correspondence of nodes in a set of objects, which are then used to built statistical human brain MRI and hand gesture models.