Search Results - "Schnorr, Andrea"

  • Showing 1 - 8 results of 8
Refine Results
  1. 1

    Using Autonomous Outlier Detection Methods for Thermophysical Property Data by Schnorr, Andrea, Kaldi, Daniel Johannes, Staubach, Jens, Garth, Christoph, Stephan, Simon

    Published in Journal of chemical and engineering data (14-03-2024)
    “…The reliability and accuracy of thermophysical property data are of central importance for the development of models that describe these properties. In this…”
    Get full text
    Journal Article
  2. 2

    Feature Tracking by Two-Step Optimization by Schnorr, Andrea, N. Helmrich, Dirk, Denker, Dominik, Kuhlen, Torsten W., Hentschel, Bernd

    “…Tracking the temporal evolution of features in time-varying data is a key method in visualization. For typical feature definitions, such as vortices, objects…”
    Get full text
    Journal Article
  3. 3

    A Prototype for Pipeline-Composable Task-Based Visualization Algorithms by Petersen, Marvin, Werner, Kilian, Schnorr, Andrea, Kuhlen, Torsten Wolfgang, Garth, Christoph

    “…For next generation platforms, the paradigm of task-based parallelism has the potential to overcome some of the accompanying challenges. This paradigm has…”
    Get full text
    Conference Proceeding
  4. 4

    Complexity Estimation for Feature Tracking Data by Helmrich, Dirk N., Schnorr, Andrea, Kuhlen, Torsten W., Hentschel, Bernd

    “…Figure 1.Left: Synthetic Voronoi data set to mimick the behavior of dissipation elements. Points are seeded randomly inside this data set and each volume cell…”
    Get full text
    Conference Proceeding
  5. 5

    Feature Tracking Utilizing a Maximum-Weight Independent Set Problem by Schnorr, Andrea, Helmrich, Dirk N., Childs, Hank, Kuhlen, Torsten W., Hentschel, Bernd

    “…Tracking the temporal evolution of features in time-varying data remains a combinatorially challenging problem. A recent method models event detection as a…”
    Get full text
    Conference Proceeding
  6. 6

    Formal evaluation strategies for feature tracking by Schnorr, Andrea, Freitag, Sebastian, Helmrich, Dirk, Kuhlen, Torsten W., Hentschel, Bernd

    “…We present an approach for tracking space-filling features based on a two-step algorithm utilizing two graph optimization techniques. First, one-to-one…”
    Get full text
    Conference Proceeding
  7. 7

    Tracking space-filling structures in turbulent flows by Schnorr, Andrea, Gobbert, Jens Henrik, Kuhlen, Torsten W., Hentschel, Bernd

    “…We present a novel approach for tracking space-filling features, i.e. a set of features which covers the entire domain. In contrast to previous work, we…”
    Get full text
    Conference Proceeding
  8. 8