This paper investigates how vector time can be used to set breakpoints in distributed computations for the purpose of analyzing and debugging distributed programs. A breakpoint is ...
Current research in parallel programming is focused on closing the gap between globally indexed algorithms and the separate address spaces of processors on distributed memory mult...
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
We present a method for interactive computation of indirect illumination in large and fully dynamic scenes based on approximate visibility queries. While the high-frequency nature...
Tobias Ritschel, Thorsten Grosch, Min H. Kim, Hans...
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...