@InProceedings{ElerNaPaSaOlNeMi:2008:MuViSu,
               author = "Eler, Danilo Medeiros and Nakazaki, Marcel Yugo and Paulovich, 
                         Fernando Vieira and Santos, Davi Pereira and Oliveira, Maria 
                         Cristina Ferreira de and Neto, Jo{\~a}o do Esp{\'{\i}}rito 
                         Santo Batista and Minghim, Rosane",
          affiliation = "{ICMC / University of S{\~a}o Paulo} and {ICMC / University of 
                         S{\~a}o Paulo} and {ICMC / University of S{\~a}o Paulo} and 
                         {ICMC / University of S{\~a}o Paulo} and {ICMC / University of 
                         S{\~a}o Paulo} and {ICMC / University of S{\~a}o Paulo} and 
                         {ICMC / University of S{\~a}o Paulo}",
                title = "Multidimensional visualization to support analysis of image 
                         collections",
            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 = "Biomedical Imaging and Visualization, Image Analysis, Visual Data 
                         Mining.",
             abstract = "Multidimensional Visualization techniques are invaluable tools for 
                         analysis of structured and unstructured data with variable 
                         dimensionality. This paper introduces a methodology and a software 
                         tool called PEx-Image Projection Explorer for Image for analysis 
                         and exploration of image collections employing visualizations. The 
                         visual mappings proposed here are similarity-based 
                         multidimensional projections and point placements, which layout 
                         the data on a plane for visual exploration. The proposed approach 
                         supports various image analysis tasks such as feature selection 
                         and classification, improving data exploration capabilities. We 
                         also illustrate how it can be successfully employed in 
                         simultaneous analysis of different data types, such as text and 
                         images, offering a common visual representation for data expressed 
                         in different modalities.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.30",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.30",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UMMTC",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UMMTC",
           targetfile = "eler_MultidimVizSupportImgCollections.pdf",
        urlaccessdate = "2024, Apr. 27"
}