Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
We present a set of advanced program parallelization techniques that are able to signi cantly improve the performance of application programs. We present evidence for this improve...
Shadow maps are probably the most widely used means for the generation of shadows, despite their well known aliasing problems. In this paper we introduce perspective shadow maps, ...
The hybrid Radon-Fourier technique has been proposed for the discrimination and tracking of deforming and compound targets. The current work investigates the technique's uniq...
Security folklore holds that a security mechanism based on stack inspection is incompatible with a global tail call optimization policy. An implementation of such a language may ha...