On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing-Reference-Cited by-同舟云学术

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On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing

Published:2023-06-28 Issue: Volume: Page:
ISSN:
Container-title:2023 26th International Conference on Information Fusion (FUSION)
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Author:

Liu Yi¹,Li Xi²,Yang Le¹,Mihaylova Lyudmila³,Xue Yanbo⁴

Affiliation:

1. University of Canterbury,Department of Electrical and Computer Engineering,Christchurch,NZ

2. National University of Defense Technology,State Key Lab of Complex Electromagnetic Environment Effects on Electronics and Information Systems,Changsha,China

3. University of Sheffield,Department of Automatic Control and System Engineering,Sheffield,UK

4. Career Science Lab,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223725/10224076/10224163.pdf?arnumber=10224163

Reference36 articles.

1. Estimation with applications to tracking and navigation: Theory, algorithms and software;bar-shalom,2001

2. Bayes-Newton methods for approximate Bayesian inference with PSD guarantees;wilkinson;ArXiv Preprint,2022

3. Fundamentals of Object Tracking

4. Fast and scalable Bayesian deep learning by weight-perturbation in Adam;khan;Proc of the International Conference on Machine Learning (ICML),2018

5. On Gaussian Optimal Smoothing of Non-Linear State Space Models

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