In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
— With the continued growth of computing power and reduction in physical size of enterprise servers, the need for actively managing electrical power usage in large datacenters is...
Malgorzata Steinder, Ian Whalley, James E. Hanson,...
Sequential consistency is the archetypal correctness condition for the memory protocols of shared-memory multiprocessors. Typically, such protocols are parameterized by the number ...
Jesse D. Bingham, Anne Condon, Alan J. Hu, Shaz Qa...
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
The visual effects of rain are complex. Rain produces sharp intensity changes in images and videos that can severely impair the performance of outdoor vision systems. In this paper...