Estimating switching activity is a crucial step in optimizing circuits for low power. In this paper, a fast gate level switching activity estimator for combinational circuits will...
In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
Previous research has shown that hypertext links may be a useful source of evidence for document contents and relevance, but these evidence are rather difficult to represent and co...
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
We describe ongoing work which aims to extend the schema-based program synthesis paradigm with explicit models. In this context, schemas can be considered as model-to-model transf...