Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
There has been considerable past work studying data integration and uncertain data in isolation. We develop the foundations for local-as-view (LAV) data integration when the sourc...
Parag Agrawal, Anish Das Sarma, Jeffrey D. Ullman,...
Linking 3D photorealistic and virtual reality models with contents of bibliographic repositories and resources is needed for archeological and historical analyses, public understan...
The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search r...
This paper seeks to unravel whether commonly available social tagged images can be exploited as a training resource for concept-based video search. Since social tags are known to ...