In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Abstract. Conventional TCP in wireless environment has a lack of ability to differentiate the packet losses caused by network congestion from those caused by wireless link error. ...
We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellula...
There is a need for information, application, and other enterprise architectures which are robust and flexible enough to meet the challenges of today’s heterogeneous, rapidly cha...