@InProceedings{LageBoPeVeTaLeLo:2008:ApSmTr,
               author = "Lage, Marcos and Bordignon, Alex and Petronetto, Fabiano and 
                         Veiga, Alvaro and Tavares, Geovan and Lewiner, Thomas and Lopes, 
                         H{\'e}lio",
          affiliation = "Department of Mathematics, PUC–Rio de Janeiro, Brazil and 
                         Department of Mathematics, PUC–Rio de Janeiro, Brazil and 
                         Department of Mathematics, PUC–Rio de Janeiro, Brazil and 
                         Department of Electrical Engineering, PUC–Rio de Janeiro, Brazil 
                         and Department of Mathematics, PUC–Rio de Janeiro, Brazil and 
                         Department of Mathematics, PUC–Rio de Janeiro, Brazil and 
                         Department of Mathematics, PUC–Rio de Janeiro, Brazil",
                title = "Approximations by Smooth Transitions in Binary Space Partitions",
            booktitle = "Proceedings...",
                 year = "2008",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Binary Space Partitions, Smooth Transition Regression Trees, 
                         Classification and Regression Tree.",
             abstract = "This work proposes a simple approximation scheme for discrete data 
                         that leads to an in\finitely smooth result without global 
                         optimization. It combines the \flexibility of Binary Space 
                         Partitions Trees with the statistical robustness of Smooth 
                         Transition Regression Trees. The construction of the tree is 
                         straightforward and easily controllable, using error-driven 
                         metrics or external constraints. Moreover, it leads to a concise 
                         representation. Applications on synthetic and real data, both 
                         scalar and vector-valued demonstrated the effectiveness of this 
                         approach.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.7",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.7",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UMQEE",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UMQEE",
           targetfile = "lewiner-bsp.pdf",
        urlaccessdate = "2024, Apr. 27"
}