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dc.contributor.authorIwashita, Adriana S. [UNESP]
dc.contributor.authorPapa, João Paulo [UNESP]
dc.contributor.authorFalcao, Alexandre X.
dc.contributor.authorLotufo, Roberto A.
dc.contributor.authorDe Araujo Oliveira, Victor M.
dc.contributor.authorDe Albuquerque, Victor H. Costa
dc.contributor.authorTavares, Joao Manuel R. S.
dc.identifier.citationProceedings - International Conference on Pattern Recognition, p. 1233-1236.
dc.description.abstractIn this paper we present an optimization of the Optimum-Path Forest classifier training procedure, which is based on a theoretical relationship between minimum spanning forest and optimum-path forest for a specific path-cost function. Experiments on public datasets have shown that the proposed approach can obtain similar accuracy to the traditional one but with faster data training. © 2012 ICPR Org Committee.en
dc.relation.ispartofProceedings - International Conference on Pattern Recognition
dc.subjectMinimum spanning forests
dc.subjectOptimum-path forests
dc.subjectSoftware engineering
dc.subjectPattern recognition
dc.titleSpeeding up optimum-path forest training by path-cost propagationen
dc.typeTrabalho apresentado em evento
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversity of Fortaleza
dc.contributor.institutionUniversity of Porto
dc.description.affiliationSão Paulo State University Department of Computing, Bauru
dc.description.affiliationUniversity of Campinas Institute of Computing, Campinas
dc.description.affiliationUniversity of Campinas School of Electrical and Computer Engineering, Campinas
dc.description.affiliationCenter of Technological Sciences University of Fortaleza, Fortaleza
dc.description.affiliationFaculty of Engineering University of Porto, Porto
dc.description.affiliationUnespSão Paulo State University Department of Computing, Bauru
dc.rights.accessRightsAcesso aberto
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt
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