Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
An original concept for computing instantaneous 3D pose and 3D velocity of fast moving objects using a single view is proposed, implemented and validated. It takes advantage of the...
Omar Ait-Aider, Nicolas Andreff, Jean-Marc Lavest,...
Increasing power densities in Field Programmable Gate Arrays (FPGAs) have made them susceptible to thermal problems. The advent of platform FPGAs has further exacerbated the probl...
Priya Sundararajan, Aman Gayasen, Narayanan Vijayk...
— Rain, snow, gaseous, cloud, fog, scintillation and other atmospheric properties can have a distorting effect on signal fidelity of Ku and Ka bands, thus resulting in excessive ...
Kamal Harb, Changcheng Huang, Anand Srinivasan, Br...