Object representation with self-organising networks

Angelopoulou, Anastassia and Psarrou, Alexandra and Garcia Rodriguez, Jose (2011) Object representation with self-organising networks. In: 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


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
Subjects: University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)
Depositing User: Rachel Wheelhouse
Date Deposited: 26 Jul 2012 09:58
Last Modified: 26 Jul 2012 09:58
URI: http://westminsterresearch.wmin.ac.uk/id/eprint/10931

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