Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
— This paper addresses two key limitations of the unscented Kalman filter (UKF) when applied to the simultaneous localization and mapping (SLAM) problem: the cubic, in the numbe...
Guoquan Huang, Anastasios I. Mourikis, Stergios I....
Clock skew scheduling is a technique that intentionally introduces skews to memory elements to improve the performance of a sequential circuit. It was shown in [21] that the full ...
—Open Shortest Path First (OSPF) is a popular protocol for routing within an autonomous system (AS) domain. In order to scale for large networks containing hundreds and thousands...
Rajeev Rastogi, Yuri Breitbart, Minos N. Garofalak...
In this paper we introduce Refractor Importance Sampling (RIS), an improvement to reduce error variance in Bayesian network importance sampling propagation under evidential reason...