@InProceedings{BreveJúniMasc:2007:MuPeCl,
               author = "Breve, Fabricio Aparecido and J{\'u}nior, Moacir Pereira Ponti 
                         and Mascarenhas, Nelson Delfino d'{\'A}vila",
          affiliation = "{Universidade Federal de S{\~a}o Carlos} and {Universidade 
                         Federal de S{\~a}o Carlos} and {Universidade Federal de S{\~a}o 
                         Carlos}",
                title = "Multilayer Perceptron Classifier Combination for Identification of 
                         Materials on Noisy Soil Science Multispectral Images",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "classifier combination multilayer perceptron dempster-shafer 
                         decision templates bagging soil tomograph images.",
             abstract = "Classifier combination experiments using the Multilayer Perceptron 
                         (MLP) were carried out using noisy soil science multispectral 
                         images, which were obtained using a Tomograph scanner. Using few 
                         units in the MLP hidden layer, images were classified using a 
                         single classifier. Later we used classifier combining techniques 
                         as Bagging, Decision Templates (DT) and Dempster-Shafer (DS), in 
                         order to improve the performance of the single classifiers and 
                         also stabilize the performance of the Multilayer Perceptron. The 
                         classification results were evaluated using Cross-Validation. The 
                         results showed stabilization of Multilayer Perceptron and improved 
                         results were achieved with fewer units in the MLP hidden layer.",
  conference-location = "Belo Horizonte, MG, Brazil",
      conference-year = "7-10 Oct. 2007",
                  doi = "10.1109/SIBGRAPI.2007.10",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.10",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/QGH3E",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QGH3E",
           targetfile = "brevef-ClassifierCombination.pdf",
        urlaccessdate = "2024, May 02"
}