Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
— Various monitoring and performance evaluation tools generate considerable amount of low priority traffic. This information is not always needed in real time, and thus could of...
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Control independence has been put forward as a significant new source of instruction-level parallelism for future generation processors. However, its performance potential under p...
Abstract. An abstract framework is developed to describe program transformation by specializing a given program to a restricted set of inputs. Particular cases include partial eval...