3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
Abstract Climbing robots that climb flat structures using suction cups or magnets are commonly described in the literature. However, robots that can autonomously find randomly plac...
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
Probabilistic Logic Programming is an active field of research, with many proposals for languages, semantics and reasoning algorithms. One such proposal, Logic Programming with A...
—Mounting concerns over variability, defects and noise motivate a new approach for digital circuitry: stochastic logic, that is to say, logic that operates on probabilistic signa...
Weikang Qian, Xin Li, Marc D. Riedel, Kia Bazargan...