A Robust Position Estimator Using Bayesian Sparse Prior Against GNSS MP/NLOS Outliers
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3587281
Abstract: In urban environments, frequent multipath (MP) and non-line-of-sight (NLOS) occurrences introduce significant measurement outliers, posing challenges for accurate and robust positioning via global navigation satellite system (GNSS). This paper proposes a robust position estimator that… read more here.
Keywords: sparse; bias vector; nlos outliers; bayesian sparse ... See more keywords
Bayesian Sparse Topical Coding
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2847707
Abstract: Sparse topic models (STMs) are widely used for learning a semantically rich latent sparse representation of short texts in large scale, mainly by imposing sparse priors or appropriate regularizers on topic models. However, it is… read more here.
Keywords: bayesian sparse; topical coding; topic models; sparse ... See more keywords
Sonar image denoising based on clustering and Bayesian sparse coding
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0330196
Abstract: Side-scan sonar image (SSI) are often affected by a combination of multiplicative speckle noise and additive noise, which degrades image quality and hinders target recognition and scene interpretation. To address this problem, this paper proposes… read more here.
Keywords: image; sonar image; sparse coding; bayesian sparse ... See more keywords