We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Effective overlap of computation and communication is a well understood technique for latency hiding and can yield significant performance gains for applications on high-end compu...
Aniruddha G. Shet, P. Sadayappan, David E. Bernhol...