Motifs in a network are small connected subnetworks that occur in significantly higher frequencies than in random networks. They have recently gathered much attention as a useful ...
Data warehouses are of crucial importance to decision-making in competitive organizations. The fact that they store enormous quantities of data is a challenge in what concerns per...
Inference of topological and geometric attributes of a hidden manifold from its point data is a fundamental problem arising in many scientific studies and engineering application...
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
The study of time dependent characteristics of proteins is important for gaining insight into many biological processes. However, visualizing protein dynamics by animating atom tr...