We present an improved data model that reflects the whole VLSI design process including bottom-up and topdown design phases. The kernel of the model is a static version concept th...
Composition languages like BPEL and many enactment tools only support structured process models, while most composition approaches only consider unstructured models. In this paper,...
The steadily increasing complexity of embedded systems requires comprehensive methodoloat support the design process from the highest possible abstraction level. In most of the cu...
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...