Schedulability analysis of real-time embedded systems requires worst case timing guarantees of embedded software performance. This involves not only language level program analysi...
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Graph-theoretic aggregation problems have been considered both in OLAP (grid graph) and XML (tree). This paper gives new results for MIN aggregation in a tree, where we want the M...
Effective access to and navigation in information stored in deep Web ontological repositories or relational databases has yet to be realized due to issues with usability of user i...