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@InProceedings{Gomez-NietoNona:2017:GeSeLa,
               author = "Gomez-Nieto, Erick and Nonato, Luis Gustavo",
          affiliation = "{Universidad Catolica San Pablo} and ICMC, Universidade de Sao 
                         Paulo",
                title = "Generation of Semantic Layouts for Interactive Multidimensional 
                         Data Visualization",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Area optimization, High-dimensional data, Overlap removal, 
                         Semantic layout, Similarity preserving.",
             abstract = "Visualization methods make use of interactive graphical 
                         representations embedded on a display area in order to enable data 
                         exploration and analysis. These typically rely on geometric 
                         primitives for representing data or building more sophisticated 
                         representations to assist the visual analysis process. One of the 
                         most challenging tasks in this context is to determinate an 
                         optimal layout of these primitives which turns out to be effective 
                         and informative. Existing algorithms for building layouts from 
                         geometric primitives are typically designed to cope with 
                         requirements such as orthogonal alignment, overlap removal, 
                         optimal area usage, hierarchical organization, dynamic update 
                         among others. However, most techniques are able to tackle just a 
                         few of those requirements simultaneously, impairing their use and 
                         flexibility. In this dissertation, we propose a set of approaches 
                         for building layouts from geometric primitives that concurrently 
                         addresses a wider range of requirements. Relying on 
                         multidimensional projection and optimization formulations, our 
                         methods arrange geometric objects in the visual space so as to 
                         generate well-structured layouts that preserve the semantic 
                         relation among objects while still making an efficient use of 
                         display area. A comprehensive set of quantitative comparisons 
                         against existing methods for layout generation and applications on 
                         text, image, and video data set visualization prove the 
                         effectiveness of our approaches.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PJ6592",
                  url = "http://urlib.net/rep/8JMKD3MGPAW/3PJ6592",
           targetfile = "paper.pdf",
        urlaccessdate = "2021, Jan. 26"
}


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