Bonev, Boyan, Escolano, Francisco, Lozano, Miguel Angel, Suau Pérez, Pablo, Cazorla, Miguel, Aguilar, Wendy
Constellations and the unsupervised learning of graphs
BONEV, Boyan, et al. "Constellations and the unsupervised learning of graphs". En: Graph-Based Representations in Pattern Recognition : 6th IAPR-TC-15 International Workshop, GbRPR 2007, Alicante, Spain, June 11-13, 2007, Proceedings / Francisco Escolano, Mario Vento (Eds.). Berlin : Springer, 2007. (Lecture Notes in Computer Science; 4538). ISBN 978-3-540-72902-0, pp. 340-350
URI: http://hdl.handle.net/10045/23399
DOI: 10.1007/978-3-540-72903-7_31
ISSN: 0302-9743 (Print)
ISBN: 978-3-540-72902-0
Abstract: 
In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an EM central clustering algorithm which builds prototypical graphs on the basis of fast matching with graph transformations. Our experiments, both with random graphs and in realistic situations (visual localization), show that our prototypes improve the set median graphs and also the prototypes derived from our previous incremental method. We also discuss how the method scales with a growing number of images.
Keywords:Unsupervised clustering of graphs, Constellation approach, Object recognition
Springer Berlin / Heidelberg
info:eu-repo/semantics/conferenceObject