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dc.contributor.authorSerratosa Casanelles, Francesc
dc.contributor.authorSanromà Güell, Gerard
dc.contributor.authorSanfeliu Cortés, Alberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2009-03-13T09:18:37Z
dc.date.available2009-03-13T09:18:37Z
dc.date.created2007
dc.date.issued2007
dc.identifier.citationSerratosa, Francesc; Sanroma, G.; Sanfeliu, Alberto. "A new algorithm to compute the distance between multi-dimensional histograms ". 12th Iberoamerican Congress on Pattern Recognition (CIARP), Valparaiso, Xile, 2007. A: Lecture Notes in Computer Science, vol. 4756. Berlin, Alemanya: Springer Verlag, 2008, p. 115 - 123.
dc.identifier.urihttp://hdl.handle.net/2117/2668
dc.description.abstractThe aim of this paper is to present a new algorithm to compute the distance between ndimensional histograms. There are some domains such as pattern recognition or image retrieval that use the distance between histograms at some step of the classification process. For this reason, some algorithms that find the distance between histograms have been proposed in the literature. Nevertheless, most of this research has been applied on one-dimensional histograms due to the computation of a distance between multi-dimensional histograms is very expensive. In this paper, we present an efficient method to compare multi dimensional histograms in O(z2), where z represents the number of bins.
dc.format.extentp. 115 - 123
dc.language.isoeng
dc.publisherSpringer Verlag
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject.lcshPattern recognition systems
dc.subject.othermulti-dimensional histogram distance
dc.subject.otherEarth movers distance
dc.subject.othersecond-order random graphs
dc.titleA new algorithm to compute the distance between multi-dimensional histograms
dc.typePart of book or chapter of book
dc.subject.lemacReconeixement de formes (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition
dc.rights.accessOpen Access
dc.relation.projectidcttJ-0929
local.personalitzacitaciotrue


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