WestminsterResearch

Object representation with self-organising networks

Angelopoulou, Anastassia and Psarrou, Alexandra and Garcia Rodriguez, Jose (2011) Object representation with self-organising networks. In: Cabestany, Joan and Rojas, Ignacio and Joya, Gonzalo, (eds.) Advances in computational intelligence: 11th international work-conference on artificial neural networks, IWANN 2011, Torremolinos-Malaga, Spain, June 8-10, 2011. Lecture Notes in Computer Science . Springer, pp. 244-251. ISBN 9783642214974

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Official URL: http://dx.doi.org/10.1007/978-3-642-21498-1_31

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.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:10931
Deposited On:26 Jul 2012 10:58
Last Modified:26 Jul 2012 10:58

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