@InProceedings{NeryCaPáQuMaCa:2005:DeApFe,
               author = "Nery, Marcelo Souza and Campos, Mario Fernando Montenegro and 
                         P{\'a}dua, Fl{\'a}vio Luis Cardeal and Queiroz Neto, Jos{\'e} 
                         Pinheiro de and Machado, Alexei Manso Correa and Carceroni, 
                         Rodrigo Lima",
          affiliation = "{Departamento de Ci{\^e}ncia da Computa{\c{c}}{\~a}o - 
                         Universidade Federal de Minas Gerais} and {Pontif{\'{\i}}cia 
                         Universidade Cat{\'o}lica de Minas Gerais} and {Centro Federal de 
                         Educa{\c{c}}{\~a}o Tecnol{\'o}gica do Amazonas}",
                title = "Determining the appropriate feature set for fish classification 
                         tasks",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "object classification, feature extraction, feature selection, fish 
                         classification.",
             abstract = "We present a novel fish classification methodology based on a 
                         robust feature selection technique. Unlike existing works for fish 
                         classification, which propose descriptors and do not analyze their 
                         individual impacts in the whole classification task, we propose a 
                         general set of features and their correspondent weights that 
                         should be used as a priori information by the classifier. In this 
                         sense, instead of studying techniques for improving the 
                         classifiers structure itself, we consider it as a {"}black box{"} 
                         and focus our research in the determination of which input 
                         information must bring a robust fish discrimination. All the 
                         experiments were performed with fish species of Rio Grande river 
                         in Minas Gerais, Brazil. This work has been developed as part of a 
                         wider research, which has as main goal the development of 
                         effective fish ladders for the Brazilian dams.",
  conference-location = "Natal, RN, Brazil",
      conference-year = "9-12 Oct. 2005",
                  doi = "10.1109/SIBGRAPI.2005.25",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.25",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/GJPfJ",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GJPfJ",
           targetfile = "paduaf_fishclassification.pdf",
        urlaccessdate = "2024, Apr. 29"
}