25 citations · 65 across the 4 of their papers we have counts for
5 papers
Fast Compressed Segmentation Volumes for Scientific Visualization
Max Piochowiak, Carsten Dachsbacher
Voxel-based segmentation volumes often store a large number of labels and voxels, and the resulting amount of data can make storage, transfer, and interactive visualization difficu…
Uncertain Transport in Unsteady Flows
Tobias Rapp, Carsten Dachsbacher
We study uncertainty in the dynamics of time-dependent flows by identifying barriers and enhancers to stochastic transport. This topological segmentation is closely related to the…
Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries
Tobias Rapp, Christoph Peters, Carsten Dachsbacher
Rapidly growing data sizes of scientific simulations pose significant challenges for interactive visualization and analysis techniques. In this work, we propose a compact probabili…
Void-and-Cluster Sampling of Large Scattered Data and Trajectories
Tobias Rapp, Christoph Peters, Carsten Dachsbacher
We propose a data reduction technique for scattered data based on statistical sampling. Our void-and-cluster sampling technique finds a representative subset that is optimally dist…
Efficient Random Sampling -- Parallel, Vectorized, Cache-Efficient, and Online
Peter Sanders, Sebastian Lamm, Lorenz Hübschle-Schneider +2
We consider the problem of sampling numbers from the range without replacement on modern architectures. The main result is a simple divide-and-conquer scheme t…