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1
An Improved Variational Bayesian Adaptive Robust Kalman Fil..:
, In:
2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM)
,
Li, Ding
;
Yu, Xudong
;
Jiang, Pengfei
. - p. 93-98 , 2022
Link:
https://doi.org/10.1109/MLCCIM55934.2022.00023
RT T1
2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM)
: T1
An Improved Variational Bayesian Adaptive Robust Kalman Filter
UL https://suche.suub.uni-bremen.de/peid=ieee-9955223&Exemplar=1&LAN=DE A1 Li, Ding A1 Yu, Xudong A1 Jiang, Pengfei A1 Jian, Wanli YR 2022 K1 Adaptation models K1 Target tracking K1 Pollution K1 Navigation K1 Filtering algorithms K1 Robustness K1 Bayes methods K1 component K1 Kalman filter K1 Mahalanobis distance K1 Variational Bayesian K1 Adaptive Robust SP 93 OP 98 LK http://dx.doi.org/https://doi.org/10.1109/MLCCIM55934.2022.00023 DO https://doi.org/10.1109/MLCCIM55934.2022.00023 SF ELIB - SuUB Bremen
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