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Speeding Up Optimum-Path Forest Training by Path-cost Propagation

dc.contributor.authorIwashita, Adriana S. [UNESP]
dc.contributor.authorPapa, Joao P. [UNESP]
dc.contributor.authorFalcao, Alexandre X.
dc.contributor.authorLotufo, Roberto A.
dc.contributor.authorAraujo Oliveira, Victor M. de
dc.contributor.authorCosta de Albuquerque, Victor H.
dc.contributor.authorTavares, Joao Manuel R. S.
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniv Fortaleza
dc.contributor.institutionUniv Porto
dc.date.accessioned2020-12-10T19:32:05Z
dc.date.available2020-12-10T19:32:05Z
dc.date.issued2012-01-01
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 hut with faster data training.en
dc.description.affiliationSao Paulo State Univ, Dept Comp, Bauru, Brazil
dc.description.affiliationUniv Estadual Campinas, Inst Comp, Campinas, SP, Brazil
dc.description.affiliationUniv Estadual Campinas, Sch Elect & Comp Engn, Campinas, SP, Brazil
dc.description.affiliationUniv Fortaleza, Ctr Technol Sci, Fortaleza, Ceara, Brazil
dc.description.affiliationUniv Porto, Fac Engn, P-4100 Porto, Portugal
dc.description.affiliationUnespSao Paulo State Univ, Dept Comp, Bauru, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipUNIFOR, in Brazil
dc.description.sponsorshipIdFAPESP: 2010/12697-8
dc.description.sponsorshipIdFAPESP: 2009/16206-1
dc.description.sponsorshipIdCNPq: 303182/2011-3
dc.description.sponsorshipIdUNIFOR, in Brazil: 35.0053/2011.1
dc.format.extent1233-1236
dc.identifier.citation2012 21st International Conference On Pattern Recognition (icpr 2012). New York: Ieee, p. 1233-1236, 2012.
dc.identifier.issn1051-4651
dc.identifier.urihttp://hdl.handle.net/11449/196064
dc.identifier.wosWOS:000343660601081
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2012 21st International Conference On Pattern Recognition (icpr 2012)
dc.sourceWeb of Science
dc.titleSpeeding Up Optimum-Path Forest Training by Path-cost Propagationen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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