We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
The interaction of simultaneously co-allocated jobs can often create contention in the network infrastructure of a dedicated computational grid. This contention can lead to degrad...
William M. Jones, Louis W. Pang, Walter B. Ligon I...
The existence of good probabilistic models for the job arrival process and job characteristics is important for the improved understanding of grid systems and the prediction of th...
Michael Oikonomakos, Kostas Christodoulopoulos, Em...
One way to exploit Thread Level Parallelism (TLP) is to use architectures that implement novel multithreaded execution models, like Scheduled DataFlow (SDF). This latter model pro...
In this work a new multi-resolution model is proposed for polygonal meshes. It is based on the dual edge collapse, which performs face clustering instead of vertex clustering. The...