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@InProceedings{InabaSallRaub:2011:KeSaMa,
               author = "Inaba, Fernando K. and Salles, Evandro O. T. and Rauber, Thomas 
                         W.",
          affiliation = "Departamento de Engenharia El{\'e}trica, Centro Tecnol{\'o}gico, 
                         Universidade Federal do Esp{\'{\i}}rito Santo and Departamento 
                         de Engenharia El{\'e}trica, Centro Tecnol{\'o}gico, Universidade 
                         Federal do Esp{\'{\i}}rito Santo and Departamento de 
                         Inform{\'a}tica, Centro Tecnol{\'o}gico, Universidade Federal do 
                         Esp{\'{\i}}rito Santo",
                title = "Kernel Sammon Map",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "Sammon map, Hilbert feature space, Kernels, Visualization, Kernel 
                         Principal Component Analysis.",
             abstract = "We extend the visualization technique of highdimensional patterns 
                         conceived by Sammon to the case when the patterns have been 
                         previously mapped to an implicitly defined Hilbert feature space 
                         in which distances can be measured by kernels. The principal 
                         benefit of our technique is the possibility to gain insight into 
                         the distribution of the patterns, even in this generally 
                         non-accessible feature space.",
  conference-location = "Macei{\'o}",
      conference-year = "Aug. 28 - 31, 2011",
             language = "en",
           targetfile = "86588.pdf",
        urlaccessdate = "2019, Dec. 07"
}


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