Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Abstract— In this paper, we address the problem of providing traffic quality of service and energy efficiency in ad hoc wireless networks. We consider a network that is shared ...
Schedulinglarge task graphsis an importantissue in parallel computingsince it allowsthe treatment of big size problems. In this paper we tackle the following problem: how to sched...
Michel Cosnard, Emmanuel Jeannot, Laurence Rougeot
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
Abstract. The detection of motion boundaries has been and remains a longstanding challenge in computer vision. In this paper, the recovery of motion boundaries is recast in a broad...