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Training optimum-path forest on graphics processing units

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dc.contributor.authorIwashita, Adriana S. [UNESP]
dc.contributor.authorRomero, Marcos V.T. [UNESP]
dc.contributor.authorBaldassin, Alexandro [UNESP]
dc.contributor.authorCosta, Kelton A.P. [UNESP]
dc.contributor.authorPapa, João P. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T07:20:28Z
dc.date.available2022-04-29T07:20:28Z
dc.date.issued2014-01-01
dc.description.abstractIn this paper, we presented a Graphics Processing Unit (GPU)-based training algorithm for Optimum-Path Forest (OPF) classifier. The proposed approach employs the idea of a vector-matrix multiplication to speed up both traditional OPF training algorithm and a recently proposed Central Processing Unit (CPU)-based OPF training algorithm. Experiments in several public datasets have showed the efficiency of the proposed approach, which demonstrated to be up to 14 times faster for some datasets. To the best of our knowledge, this is the first GPU-based implementation for OPF training algorithm. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.en
dc.description.affiliationDepartment of Computing São Paulo State University, Bauru, São Paulo
dc.description.affiliationDepartment of Statistics Applied Mathematics and Computation São Paulo State University, Rio-Claro, São Paulo
dc.description.affiliationUnespDepartment of Computing São Paulo State University, Bauru, São Paulo
dc.description.affiliationUnespDepartment of Statistics Applied Mathematics and Computation São Paulo State University, Rio-Claro, São Paulo
dc.format.extent581-588
dc.identifierhttp://dx.doi.org/10.5220/0004737805810588
dc.identifier.citationVISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications, v. 2, p. 581-588.
dc.identifier.doi10.5220/0004737805810588
dc.identifier.scopus2-s2.0-84906914165
dc.identifier.urihttp://hdl.handle.net/11449/227857
dc.language.isoeng
dc.relation.ispartofVISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications
dc.sourceScopus
dc.subjectGraphics Processing Unit
dc.subjectOptimum-Path Forest
dc.titleTraining optimum-path forest on graphics processing unitsen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentComputação - FCEstatística, Matemática Aplicada e Computação - IGCEpt

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Coleções

Bauru - FC - Faculdade de Ciências
Rio Claro - IGCE - Instituto de Geociências e Ciências Exatas