Motion is one of the most important types of information contained in natural video, but direct use of motion information in the design of video quality assessment algorithms has ...
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Automatically extracting temporal information from musical recordings is inarguably one of the most critical subtasks of many music information retrieval systems. In this paper we...
— 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...
The purpose of this note is to describe the underlying insights and results obtained by the authors, and others, in a series of papers aimed at modelling the distribution of `natu...