In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
networking with a layer 2 abstraction provides a powerful model for virtualized wide-area distributed computing resources, including for high performance computing (HPC) on collec...
Lei Xia, Zheng Cui, John R. Lange, Yuan Tang, Pete...
—In a wireless sensor network, the network lifetime is an important issue when the size of the network is large. In order to make the network scalable, it is divided into a numbe...
Overlapping communication with computation is an important optimization on current cluster architectures; its importance is likely to increase as the doubling of processing power ...
Wei-Yu Chen, Dan Bonachea, Costin Iancu, Katherine...