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, ...
The hypothesis that happy team members are more cooperative than sad team members has become a popular presumption in social and applied psychology. The member negatively may affec...
Jui Hang Shih, Teng-Wen Chang, Hui-Mei Hong, Tian-...
In this paper, we propose a new approach for extracting and representing prosodic features directly from the speech signal. We hypothesize that prosody is linked to linguistic uni...
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Detailed memory models that expose individual fields are necessary to precisely analyze code that makes use of low-level aspects such as, pointers to fields and untagged unions. Ye...
Vincent Laviron, Bor-Yuh Evan Chang and Xavier Riv...