Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition

Eugen Barbu (1) , Romain Raveaux (1) , Hervé Locteau (1) , Sébastien Adam (1) , Pierre Héroux (1) , Éric Trupin (1)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes

We present in this paper a graph classification approach using genetic algorithm and a fast dissimilarity measure between graphs called graph probing. The approach consists in the learning of a set of synthetic graph prototypes which are used for a 1NN classification step. Some experiments are performed on real data sets, representing 10 symbols. These tests demonstrate the interest to produce prototypes instead of finding representatives which simply belong to the data set.

Domaines: Traitement du texte et du document

Eugen Barbu, Romain Raveaux, Hervé Locteau, Sébastien Adam, Pierre Héroux, et al.. Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition. ICPR (3), 2006, Hong Kong SAR China. pp.296-299. ⟨hal-00440176⟩