A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach

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Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.creatorPonti-, Moacir P.-
Autor(es): dc.creatorPapa, Joao Paulo [UNESP]-
Autor(es): dc.creatorLevada, Alexandre L. M.-
Autor(es): dc.creatorMartin, C. S.-
Autor(es): dc.creatorKim, S. W.-
Data de aceite: dc.date.accessioned2022-02-22T00:08:14Z-
Data de disponibilização: dc.date.available2022-02-22T00:08:14Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2011-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196009-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196009-
Descrição: dc.descriptionThe research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed rules and decision templates are often used. Therefore, the influence and relationship between classifier decisions are often not considered in the combination schemes. In this paper we propose a framework to combine classifiers using a decision graph under a random field model and a game strategy approach to obtain the final decision. The results of combining Optimum-Path Forest (OPF) classifiers using the proposed model are reported, obtaining good performance in experiments using simulated and real data sets. The results encourage the combination of Off ensembles and the framework to design multiple classifier systems.-
Descrição: dc.descriptionUniv Sao Paulo ICMC USP, Inst Math & Comp Sci, Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUNESP, Dept Comp, Bauru, SP, Brazil-
Descrição: dc.descriptionUniv Sao Carlos DC UFSCar, Dept Comp, Sao Carlos, SP, Brazil-
Descrição: dc.descriptionUNESP, Dept Comp, Bauru, SP, Brazil-
Formato: dc.format581-+-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationProgress In Pattern Recognition, Image Analysis, Computer Vision, And Applications-
???dc.source???: dc.sourceWeb of Science-
Título: dc.titleA Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach-
Aparece nas coleções:Repositório Institucional - Unesp

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