Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
We present a discrete-time time-domain vector fitting algorithm, called TD-VFz, for rational function macromodeling of port-to-port responses with discrete time-sampled data. The ...
In this paper we describe combining a mesh analysis equation formulation technique with a preconditioned GORES matrix solution algorithm to accelerate the determination of inducta...
Mattan Kamon, Michael J. Tsuk, C. Smithhisler, Jac...
Abstract. Total Exchange is one of the most important collective communication patterns for scientific applications. In this paper we propose an algorithm called LG for the total e...
This paper discusses the efficiency of various batching methods for estimating performance parameters from steady-state simulation output, e.g., the steadystate mean. Our primary ...