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...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
As CMOS devices are scaled down into the nanometer regime, concerns about reliability are mounting. Instead of viewing nanoscale characteristics as an impediment, technologies suc...
Weikang Qian, Marc D. Riedel, Kia Bazargan, David ...