Publicação:
Optimum-Path Forest pruning parameter estimation through Harmony Search

dc.contributor.authorNakamura, Rodrigo Yuji Mizobe [UNESP]
dc.contributor.authorClayton, Reginaldo Pereira [UNESP]
dc.contributor.authorPapa, João Paulo [UNESP]
dc.contributor.authorFalcão, Alexandre Xavier
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2014-05-27T11:26:14Z
dc.date.available2014-05-27T11:26:14Z
dc.date.issued2011-12-01
dc.description.abstractPattern recognition in large amount of data has been paramount in the last decade, since that is not straightforward to design interactive and real time classification systems. Very recently, the Optimum-Path Forest classifier was proposed to overcome such limitations, together with its training set pruning algorithm, which requires a parameter that has been empirically set up to date. In this paper, we propose a Harmony Search-based algorithm that can find near optimal values for that. The experimental results have showed that our algorithm is able to find proper values for the OPF pruning algorithm parameter. © 2011 IEEE.en
dc.description.affiliationDepartment of Computing Universidade Estadual Paulista (UNESP), Bauru, São Paulo
dc.description.affiliationInstitute of Computing University of Campinas, Campinas, São Paulo
dc.description.affiliationUnespDepartment of Computing Universidade Estadual Paulista (UNESP), Bauru, São Paulo
dc.format.extent181-188
dc.identifierhttp://dx.doi.org/10.1109/SIBGRAPI.2011.25
dc.identifier.citationProceedings - 24th SIBGRAPI Conference on Graphics, Patterns and Images, p. 181-188.
dc.identifier.doi10.1109/SIBGRAPI.2011.25
dc.identifier.lattes9039182932747194
dc.identifier.scopus2-s2.0-84857188160
dc.identifier.urihttp://hdl.handle.net/11449/72865
dc.language.isoeng
dc.relation.ispartofProceedings - 24th SIBGRAPI Conference on Graphics, Patterns and Images
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectOptimum-Path Forest
dc.subjectPattern Recognition
dc.subjectSupervised classification
dc.subjectClassification system
dc.subjectForest classifiers
dc.subjectHarmony search
dc.subjectOptimal values
dc.subjectPruning algorithms
dc.subjectReal time
dc.subjectSearch-based algorithms
dc.subjectTraining sets
dc.subjectAlgorithms
dc.subjectClassification (of information)
dc.subjectForestry
dc.subjectPattern recognition
dc.subjectParameter estimation
dc.subjectInformation Retrieval
dc.titleOptimum-Path Forest pruning parameter estimation through Harmony Searchen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
unesp.author.lattes9039182932747194
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt
unesp.departmentComputação - FCpt

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