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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30131
Title: A recursive embedding approach to median graph computation
Authors: Ferrer, Miquel; Karatzas, D.; Valveny, Ernest; Bunke, Horst
Keywords: Pattern recognition
Pattern recognition systems
Issue Date: 2009
Publisher: Springer
Citation: Graph-Based Representations in Pattern Recognition: 113-123 (2009)
Series/Report no.: Lecture Notes in Computer Science 5534
Abstract: The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Nevertheless, its computation is extremely complex. Several approaches have been presented up to now based on different strategies. In this paper We present a new approximate recursive algorithm for median graph computation based on graph embedding into vector spaces. Preliminary experiments oil three databases show that this new approach is able to obtain better medians than the previous existing approaches.
Description: Trabajo presentado al 7th GbRPR celebrado en Venecia del 26 al 28 de mayo de 2009.
Publisher version (URL): http://dx.doi.org/10.1007/978-3-642-02124-4_12
URI: http://hdl.handle.net/10261/30131
DOI: 10.1007/978-3-642-02124-4_12
ISBN: 978-3-642-02123-7
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