Reference TypeConference Proceedings
Citation KeyNakamuraPerePapaFalc:2011:OpFoPr
Author1 Nakamura, Rodrigo Yuji Mizobe
2 Pereira, Clayton Reginaldo
3 Papa, Joao Paulo
4 Falcao, Alexandre Xavier
Affiliation1 UNESP - Univ Estadual Paulista
2 UNESP - Univ Estadual Paulista
3 UNESP - Univ Estadual Paulista
4 University of Campinas
TitleOptimum-path forest pruning parameter estimation through harmony search
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society Conference Publishing Services
Conference LocationMaceió
KeywordsOptimum-Path Forest, Supervised classification, Pattern Recognition.
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.
Tertiary TypeFull Paper
FormatDVD, On-line.
Size199 KiB
Number of Files1
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Last Update2011:
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History2011-07-23 15:36:12 :: -> :: 2011
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