Dot maps--drawings of point sets--are a well known cartographic method to visualize density functions over an area. We study the problem of simplifying a given dot map: given a se...
Mark de Berg, Prosenjit Bose, Otfried Cheong, Pat ...
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
We investigate in this article the rigid registration of large sets of points, generally sampled from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estim...
The development of efficient parallel algorithms for large scale wildfire simulations is a challenging research problem because the factors that determine wildfire behavior are com...
We propose a provably efficient application-controlled global strategy for organizing a cache of size k shared among P application processes. Each application has access to informa...
Rakesh D. Barve, Edward F. Grove, Jeffrey Scott Vi...