Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
We develop a new passive image formation method capable of exploiting information about multiple scattering in the environment using measurements from a sparse array of receivers ...
Proliferation of digital libraries plus availability of electronic documents from the Internet have created new challenges for computer science researchers and professionals. Docum...
We present new communication-efficient parallel dense linear solvers: a solver for triangular linear systems with multiple right-hand sides and an LU factorization algorithm. Thes...
We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...