This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
The intensive care unit is a challenging environment to both patient and caregiver. Continued shortages in staffing, principally in nursing, increase risk to patient and healthcar...
Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny,...
Frameworks are increasingly employed as a useful way to enable object-oriented reuse. However, their size and complexity make understanding how to use them difficult. Previous wor...