author = "Levada, Alexandre Luis Magalh{\~a}es and Mascarenhas, Nelson 
                         Delfino d'{\'A}vila",
          affiliation = "{Universidade de S{\~a}o Paulo} and {Universidade Federal de 
                         S{\~a}o Carlos}",
                title = "Estimation of non-homogeneous Potts-Strauss MRF model parameters 
                         on higher-order neighborhood systems by maximum 
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Markov Random Fields, Potts-Strauss model, maximum 
             abstract = "This paper addresses the problem of maximum pseudo-likelihood 
                         estimation of the non-homogeneous Potts-Strauss image model 
                         parameters using higher-order non-causal neighborhood systems in a 
                         computationally efficient way. The motivation is the development 
                         of a new methodology for contextual classification that uses 
                         combination of sub-optimal MRF algorithms for multispectral image 
                         classification, which requires accurate parameters estimation. The 
                         results show that the method is consistent with real image data 
                         and in the presence of random noise.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "Levada_Mascarenhas_SIBGRAPI2007.pdf",
        urlaccessdate = "2021, Jan. 25"