The components of a context-aware system can often become disconnected because of the dynamic environments within which they are deployed. Hoarding context information on the clie...
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
In this paper, we propose a viewer for huge point-sampled models by combining out-of-core technologies with view-dependent level-of-detail (LOD) control. This viewer is designed o...
In this paper, we present SISYPHUS, a storage manager for data cubes that provides an efficient physical base for performing OLAP operations. On-Line Analytical Processing (OLAP) ...