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@InProceedings{TorrećoRoe:1994:MiOpAp,
               author = "Torre{\~a}o, Jos{\'e} Ricardo A. and Roe, Edward",
          affiliation = "{Departamento de Inform{\'a}tica da Universidade Federal de 
                         Pernambuco (UFPE)} and {Departamento de Inform{\'a}tica da 
                         Universidade Federal de Pernambuco (UFPE)}",
                title = "Microcanonical optimization applied to visual processing: an 
                         assessment",
            booktitle = "Anais...",
                 year = "1994",
               editor = "Freitas, Carla dal Sasso and Geus, Klaus de and Scheer, 
                         S{\'e}rgio",
                pages = "221--228",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 7. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "visual processing, microcanonical optimization algorithm, 
                         Barnard’s microcanonical.",
             abstract = "The microcanonical optimization algorithm (µO) is an algorithm 
                         based on the microcanonical simulation techniques of statistical 
                         physics, which has been recently proposed as a suitable 
                         alternative to the simulated annealing approaches. The µO 
                         algorithm retains all of the positive features of the 
                         microcanonical annealing introduced by Barnard (which follows the 
                         pioneering work by Creutz), but avoids the necessity of an 
                         annealing schedule, thus resulting in improved computational 
                         efficiency. Here we present applications of the µO algorithm to 
                         some prototypical visual and show that it performs better than the 
                         traditional, or canonical, simulated annealing (SA) and then 
                         Barnards microcanonical annealing (MA).",
  conference-location = "Curitiba",
      conference-year = "9 - 11 nov. 1994",
                 isbn = "978-85-7669-272-0",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3DEAGL8",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3DEAGL8",
           targetfile = "29 Microcanonial optimization applied to visual.pdf",
                 type = "M{\'e}todos e T{\'e}cnicas em Processamento Visual",
               volume = "1",
        urlaccessdate = "2021, Nov. 30"
}


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