We present a novel family of data-driven linear transformations, aimed at visualizing multivariate data in a low-dimensional space in a way that optimally preserves the structure ...
We present a technique which automatically converts a small number of single-view volume rendered images of the same 3D data set into a compact representation of that data set. Th...
This paper presents research that led to the design and implementation of fast and interactive collision detection methods that can be used to identify and report undesirable conï¬...
We extend our previous work on the exploration of static metabolic networks to evolving, and therefore dynamic, pathways. We apply our visualization software to data from a simulat...
Markus Rohrschneider, Alexander Ullrich, Andreas K...
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...