The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
A multilevel adaptive aggregation method for calculating the stationary probability vector of an irreducible stochastic matrix is described. The method is a special case of the ada...
Hans De Sterck, Thomas A. Manteuffel, Stephen F. M...
In this paper we introduce and analyze two augmented mixed finite element methods for a velocity-pressure-stress formulation of the stationary Stokes equations. Our approach, which...
Leonardo E. Figueroa, Gabriel N. Gatica, Antonio M...
As multicore architectures gain widespread use, it becomes increasingly important to be able to harness their additional processing power to achieve higher performance. However, e...
David Zhang, Qiuyuan J. Li, Rodric Rabbah, Saman A...
Summer camps offer a ripe opportunity for increasing computer science diversity. This panel provides several examples of summer camps that specifically recruit from traditionally ...
Dennis P. Groth, Helen H. Hu, Betty Lauer, Hwajung...