Browsing 39-Issue 3 by Subject "Computing methodologies"

Now showing items 1-6 of 6

    • Hairy Slices II: Depth Cues for Visualizing 3D Streamlines Through Cutting Planes 

      Stevens, Andrew H.; Ware, Colin; Butkiewicz, Thomas; Rogers, David; Abram, Greg (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Visualizing 3D vector fields is challenging because of occlusion problems and the difficulty of providing depth cues that adequately support the perception of direction of flow lines in 3D space. One of the depth cues that ...

    • Infomages: Embedding Data into Thematic Images 

      Coelho, Darius; Mueller, Klaus (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Recent studies have indicated that visually embellished charts such as infographics have the ability to engage viewers and positively affect memorability. Fueled by these findings, researchers have proposed a variety of ...

    • Knowledge-Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast-Enhanced Magnetic Resonance Imaging 

      Nie, Kai; Baltzer, Pascal; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Breast perfusion data are dynamic medical image data that depict perfusion characteristics of the investigated tissue. These data consist of a series of static datasets that are acquired at different time points and ...

    • LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization 

      Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Visualization of large vector line data is a core task in geographic and cartographic systems. Vector maps are often displayed at different cartographic generalization levels, traditionally by using several discrete ...

    • Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques 

      Vernier, Eduardo Faccin; Garcia, Rafael; Silva, Iron Prando da; Comba, João L. D.; Telea, Alexandru C. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dimensionality reduction methods are an essential tool for multidimensional data analysis, and many interesting processes can be studied as time-dependent multivariate datasets. There are, however, few studies and proposals ...

    • QUESTO: Interactive Construction of Objective Functions for Classification Tasks 

      Das, Subhajit; Xu, Shenyu; Gleicher, Michael; Chang, Remco; Endert, Alex (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Building effective classifiers requires providing the modeling algorithms with information about the training data and modeling goals in order to create a model that makes proper tradeoffs. Machine learning algorithms allow ...