%0 Journal Article
%T Median Graphs: A Genetic  Approach based on New Theoretical Properties
%A Miquel Ferrer
%A Ernest Valveny
%A F. Serratosa
%J Pattern Recognition
%D 2009
%V 42
%N 9
%F Miquel Ferrer2009
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1167), last updated on Tue, 04 Mar 2014 10:10:09 +0100
%X Given a set of graphs, the median graph has been theoretically presented as a useful concept to infer a representative of the set. However, the computation of the median graph is a highly complex task and its practical application has been very limited up to now. In this work we present two major contributions. On one side, and from a theoretical point of view, we show new theoretical properties of the median graph. On the other side, using these new properties, we present a new approximate algorithm based on the genetic search, that improves the computation of the median graph. Finally, we perform a set of experiments on real data, where none of the existing algorithms for the median graph computation could be applied up to now due to their computational complexity. With these results, we show how the concept of the median graph can be used in real applications and leaves the box of the only-theoretical concepts, demonstrating, from a practical point of view, that can be a useful tool to represent a set of graphs.
%K Median graph
%K Genetic search
%K Maximum common subgraph
%K Graph matching
%K Structural pattern recognition
%U http://dx.doi.org/10.1016/j.patcog.2009.01.034
%P 2003–2012