dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorPapa, J. P.
dc.creatorPagnin, A.
dc.creatorSchellini, Silvana Artioli
dc.creatorSpadotto, A.
dc.creatorGuido, R. C.
dc.creatorPonti, M.
dc.creatorChiachia, G.
dc.creatorFalcao, A. X.
dc.date2014-05-20T13:36:26Z
dc.date2016-10-25T16:53:29Z
dc.date2014-05-20T13:36:26Z
dc.date2016-10-25T16:53:29Z
dc.date2011-01-01
dc.date.accessioned2017-04-05T20:31:00Z
dc.date.available2017-04-05T20:31:00Z
dc.identifier2011 IEEE International Conference on Acoustics, Speech, and Signal Processing. New York: IEEE, p. 2052-2055, 2011.
dc.identifier1520-6149
dc.identifierhttp://hdl.handle.net/11449/12545
dc.identifierhttp://acervodigital.unesp.br/handle/11449/12545
dc.identifier10.1109/ICASSP.2011.5946916
dc.identifierWOS:000296062402094
dc.identifierhttp://dx.doi.org/10.1109/ICASSP.2011.5946916
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/860140
dc.descriptionIn this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the speed of Optimum-Path Forest (OPF) classifier in order to provide a fast and accurate framework for feature selection. Experiments on datasets obtained from a wide range of applications, such as vowel recognition, image classification and fraud detection in power distribution systems are conducted in order to asses the robustness of the proposed technique against Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and a Particle Swarm Optimization (PSO)-based algorithm for feature selection.
dc.languageeng
dc.publisherIEEE
dc.relation2011 IEEE International Conference on Acoustics, Speech, and Signal Processing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFeature selection
dc.subjectPattern classification
dc.subjectOptimum-Path Forest
dc.subjectGravitational Search Algorithm
dc.titleFeature selection through gravitational search algorithm
dc.typeOtro


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