Theoretical modeling of chemical and biological processes is a key to understand nature and to predict experiments. Unfortunately, this is very data and computation extensive. Howe...
Wibke Sudholt, Kim Baldridge, David Abramson, Coli...
Surface reconstruction from unorganized sample points is an important problem in computer graphics, computer aided design, medical imaging and solid modeling. Recently a few algor...
We present a method to aid in the generation of pen-and-ink style renderings of complex geometry. Most illustration algorithms focus on rendering a small number of surfaces with a...
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
This paper presents a scalable time-stepped hybrid simulation algorithm which is well adapted to the simulation of large IP networks (up to one million of competing flows and netw...