Now showing items 27-30 of 30

    • Using Graphs for Fast Error Term Approximation of Time-varying Datasets 

      Nuber, C.; LaMar, E. C.; Pascucci, V.; Hamann, B.; Joy, K. I. (The Eurographics Association, 2003)
      We present a method for the efficient computation and storage of approximations of error tables used for error estimation of a region between different time steps in time-varying datasets. The error between two time steps ...
    • Vector Field Visualization using Markov Random Field Texture Synthesis 

      Taponecco, Francesca; Alexa, Marc (The Eurographics Association, 2003)
      Vector field visualization aims at generating images in order to convey the information existing in the data. We use Markov Random Field (MRF) texture synthesis methods to generate the visualization from a set of sample ...
    • Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets 

      Yang, J.; Ward, M.O.; Rundensteiner, E.A.; Huang, S. (The Eurographics Association, 2003)
      Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimensions. A common approach to solving this problem ...
    • Visualizing Spatial Distribution Data Sets 

      Luo, Alison; Kao, David; Pang, Alex (The Eurographics Association, 2003)
      In this paper, we define distributions as a new data type and address the challenges of visualizing spatial distribution data sets. Numerous visualization techniques exist today for dealing with scalar data. That is, there ...