Close
Metadata

@InProceedings{SouzaCost:2007:NaCoTe,
               author = "Souza, Jackson Gomes de and Costa, Jos{\'e} Alfredo F.",
          affiliation = "{Federal University of Rio Grande do Norte - Electrical 
                         Engineering Dept.} and {Federal University of Rio Grande do Norte 
                         - Electrical Engineering Dept.}",
                title = "Natural Computing Techniques for Data Clustering and Image 
                         Segmentation",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Pattern Recognition, Image Segmentation, Medical Imaging and 
                         Visualization, Applications, Natural Computing, Genetic 
                         Algorithms.",
             abstract = "This paper presents innovative ways to solve data clustering and 
                         image segmentation using Natural computing, a novel approach to 
                         solve real life problems inspired in the life. Evolutionary 
                         Computing, which is based on the concepts of the evolutionary 
                         biology and individual-to-population adaptation, and Swarm 
                         Intelligence, which is inspired in the behavior of individuals 
                         that, in group, try to achieve better results for a complex 
                         optimization problem, are detailed and very experimental results 
                         present a comparison between algorithms' implementations.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "33919.pdf",
        urlaccessdate = "2020, Oct. 26"
}


Close