The Grid paradigm of accessing heterogeneous distributed resources proved to be extremely effective, as many organizations are relying on Grid middlewares for their computational ...
Paolo Andreetto, Sergio Andreozzi, Antonia Ghisell...
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
Pilot-job systems have emerged as a computation paradigm to cope with heterogeneity of production grids, greatly improving fault ratios and latency. Tools like DIANE, WISDOM-II, To...
In heterogeneous and dynamic distributed systems like the Grid, detailed monitoring of workload and its resulting system performance (e.g. response time) is required to facilitate...
Rui Zhang, Steve Moyle, Steve McKeever, Stephen He...
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakol...