Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
It has been shown that people encounter difficulties in using representations and devices designed to assist navigating unfamiliar terrain. Literature review and self-reported vis...
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
We develop an analytical framework to investigate the impacts of network dynamics on the user perceived video quality. Our investigation stands from the end user's perspective...
In recent years, different commercial Weblog subscribing systems have been proposed to return stories from users' subscribed feeds. In this paper, we propose a novel clusteri...
Xin Li, Jun Yan, Zhi-Hong Deng, Lei Ji, Weiguo Fan...