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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/73946
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dc.contributor.authorIwashita, Adriana S.-
dc.contributor.authorPapa, João Paulo-
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.date.accessioned2014-05-27T11:27:22Z-
dc.date.accessioned2016-10-25T18:40:23Z-
dc.date.available2014-05-27T11:27:22Z-
dc.date.available2016-10-25T18:40:23Z-
dc.date.issued2012-12-01-
dc.identifierhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460361-
dc.identifier.citationProceedings - International Conference on Pattern Recognition, p. 1233-1236.-
dc.identifier.issn1051-4651-
dc.identifier.urihttp://hdl.handle.net/11449/73946-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/73946-
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.format.extent1233-1236-
dc.language.isoeng-
dc.sourceScopus-
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.typeoutro-
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 restrito-
dc.relation.ispartofProceedings - International Conference on Pattern Recognition-
dc.identifier.scopus2-s2.0-84874569486-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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