Fast Globally Optimal Catalog Matching using MIQCP
The Astronomical Journal, 2023 We propose a novel exact method to solve the probabilistic catalog matching problem faster than previously possible. Our new approach uses mixed integer programming and introduces quadratic constraints to shrink the problem by multiple orders of ...
Jacob Feitelberg +2 more
doaj +1 more source
Estimating rate of occurrence of rare events with empirical Bayes : a railway application [PDF]
, 2007 Classical approaches to estimating the rate of occurrence of events perform poorly when data are few. Maximum likelihood estimators result in overly optimistic point estimates of zero for situations where there have been no events.
Bedford, Tim +2 more
core +4 more sources
Variational Bayesian inference of linear state space models
The Journal of Engineering, 2019 This article studies a variational Bayesian method to fix the linear regression (LR) model of which regressors are Gaussian distributed with non-zero prior means, and then apply the method to the linear state space (LSS) model.
Chuanchao Pan +2 more
doaj +1 more source
Full polarisation ISAR imaging based on joint sparse Bayesian compressive sensing
The Journal of Engineering, 2019 This study proposes a joint sparse algorithm based on Bayesian compressive sensing to improve full polarisation inverse synthetic aperture radar (ISAR) imaging performance.
Yalong Gu +4 more
doaj +1 more source
A variable structure multi‐model maneuvering target tracking algorithm based on Monte Carlo learning
IET Radar, Sonar & Navigation, 2023 A well‐liked maneuvering target tracking algorithm is a variable structure multi‐model (VSMM). One of the crucial elements determining the tracking effect is the successful model set adaptation (MSA).
Han Shen‐tu +4 more
doaj +1 more source
Sparse-Bayesian-learning-based translational motion estimation of electromagnetic vortex imaging
The Journal of Engineering, 2019 The electromagnetic (EM) vortex imaging has been found to have a great potential application prospect in the imaging radar field. However, current studies focus on the motionless target, which seriously limits its application in practice.
Rui Li +5 more
doaj +1 more source
Multivariate reliability modelling with empirical Bayes inference [PDF]
, 2007 Recent developments in technology permit detailed descriptions of system performance to be collected and stored. Consequently, more data are available about the occurrence, or non-occurrence, of events across a range of classes through time.
Quigley, J.L., Walls, L.A.
core +3 more sources
Cognitive target detection based on Bayesian approach in radar
The Journal of Engineering, 2019 Cognitive radar (CR), which uses a closed-loop feedback perception-action cycle system, aims to develop a higher level of intelligence. In this study, the authors develop an efficient Bayesian approach to target detection in CR.
Ning Ma +4 more
doaj +1 more source
Bayesian Network analysis of software logs for data‐driven software maintenance
IET Software, 2023 Software organisations aim to develop and maintain high‐quality software systems. Due to large amounts of behaviour data available, software organisations can conduct data‐driven software maintenance.
Santiago delRey +2 more
doaj +1 more source
Bayesian angular super-resolution for sea-surface target in forward-looking scanning radar
The Journal of Engineering, 2019 As the traditional imaging dead zone, how to achieve high angular resolution in forward-looking region is always a big challenge in radar imaging field. In recent years, many approaches are proposed to solve this problem.
Changlin Li +4 more
doaj +1 more source