End-to-End Semi-supervised Learning for Differentiable Particle Filters-Reference-Cited by-同舟云学术

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End-to-End Semi-supervised Learning for Differentiable Particle Filters

Published:2021-05-30 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Wen Hao,Chen Xiongjie,Papagiannis Georgios,Hu Conghui,Li Yunpeng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561889.pdf?arnumber=9561889

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revisiting semi-supervised training objectives for differentiable particle filters;2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM);2024-07-08

2. A survey of machine learning techniques for improving Global Navigation Satellite Systems;EURASIP Journal on Advances in Signal Processing;2024-06-28

3. EKFNet: Learning System Noise Covariance Parameters for Nonlinear Tracking;IEEE Transactions on Signal Processing;2024

4. Attention-Based End-to-End Differentiable Particle Filter for Audio Speaker Tracking;IEEE Open Journal of Signal Processing;2024

5. Adaptive map matching based on dynamic word embeddings for indoor positioning;Neurocomputing;2023-10

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