While medium- and large-sized computing centers have increasingly relied on clusters of commodity PC hardware to provide cost-effective capacity and capability, it is not clear th...
Ron Sass, William V. Kritikos, Andrew G. Schmidt, ...
Most of work on partial information in databases asks which operations of standard languages, like relational algebra, can still be performed correctly in the presence of nulls. In...
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Visual data analysis has received a lot of research interest in recent years, and a wide variety of new visualization techniques and applications have been developed to improve in...
Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...