Resource reservations are a very popular choice to schedule multimedia tasks. However, the high variability of the resource requirements hinders a static choice of the scheduling ...
Luigi Palopoli, Luca Abeni, Tommaso Cucinotta, Giu...
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
This paper gives an account of the practical experiences made in generating special statistical information of web server logs. It emphasizes the problem of combining different dat...
Ernst Georg Haffner, Uwe Roth, Andreas Heuer 0002,...
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...
Abstract. We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel ...