This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...
Abstract—In this work, we propose a framework for supervisory cooperative estimation of multi-agent linear time-invariant (LTI) systems. We introduce a group of sub-observers, ea...
Design for performance-optimization of programmable, semicustom SoCs requires the ability to model and optimize the behavior of the system as a whole. Neither the hardware-testben...
JoAnn M. Paul, Christopher M. Eatedali, Donald E. ...
—In this paper, we propose a collaborative localization scheme which utilizes, in addition to the range estimates to nodes with known locations (anchors), the range estimates bet...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...