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@InProceedings{NakamuraPerePapaFalc:2011:OpFoPr,
               author = "Nakamura, Rodrigo Yuji Mizobe and Pereira, Clayton Reginaldo and 
                         Papa, Joao Paulo and Falcao, Alexandre Xavier",
          affiliation = "{UNESP - Univ Estadual Paulista} and {UNESP - Univ Estadual 
                         Paulista} and {UNESP - Univ Estadual Paulista} and {University of 
                         Campinas}",
                title = "Optimum-path forest pruning parameter estimation through harmony 
                         search",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "Optimum-Path Forest, Supervised classification, Pattern 
                         Recognition.",
             abstract = "Pattern 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.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "final_paper.pdf",
        urlaccessdate = "2019, Dec. 09"
}


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