In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Modeling in systems biology is concerned with using experimental information and mathematical methods to build quantitative models at different biological scales. This requires int...
Zhouyang Sun, Anthony Finkelstein, Jonathan Ashmor...
Reducing redundancy in search has been a major concern for automated deduction. Subgoal-reduction strategies, such as those based on model elimination and implemented in Prolog te...
In this paper, we define a simple but scalable framework for peer-to-peer data sharing systems, in which the problem of answering queries over a network of semantically related p...
PC grids represent massive computation capacity at a low cost, but are challenging to employ for parallel computing because of variable and unpredictable performance and availabili...
Nagarajan Kanna, Jaspal Subhlok, Edgar Gabriel, Es...