In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
We address the task of separating personal from non-personal blogs, and report on a set of baseline experiments where we compare the performance on a small set of features across ...
In this paper, we present a method for modeling joint information when generating n-best lists. We apply the method to a novel task of characterizing the similarity of a group of ...
We advocate an approach towards the characterisation of components where their qualifications are deduced systematically from a small set of elementary assumptions. Using the chara...
The identification of speedpaths is required for post-silicon (PS) timing validation, and it is currently becoming timeconsuming due to manufacturing variations. In this paper we...
We present a new method for generating large numbers of accurate point correspondences between two wide baseline images. This is important for structure-from-motion algorithms, wh...