Abstract— We consider the approximate sparse recovery problem, where the goal is to (approximately) recover a highdimensional vector x ∈ Rn from its lower-dimensional sketch Ax...
Due to the complexity associated with developing parallel applications, scientists and engineers rely on highlevel software libraries such as PETSc, ScaLAPACK and PESSL to ease th...
Pavan Balaji, Darius Buntinas, Satish Balay, Barry...
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
: A distributed service to model and control contextual information in mobile and ubiquitous computing environments is presented in this paper. We introduce the general user model ...
With the wide spread growth of mobile computing devices and local area wireless networks, wireless network providers have started to target the users with value-added services bas...