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. © 2011 Springer-Verlag.
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CITATION STYLE
Angelopoulou, A., Psarrou, A., & García Rodríguez, J. (2011). Object representation with self-organising networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6692 LNCS, pp. 244–251). https://doi.org/10.1007/978-3-642-21498-1_31
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