Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Computational steering requires the coupling of simulation and visualization elements, but if the latter is targetted at general requirements, little or no information about the c...
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Enterprise environments have isolated teams responsible separately for database management and the management of underlying networkattached server-storage infrastructure (referred...
This paper addresses the problem of the interpolation of 2-d spherical signals from non-uniformly sampled and noisy data. We propose a graph-based regularization algorithm to impr...