Items where authors include "Lyu, C."

Proceedings Paper

Lyu, C., Liu, X., Wright, J. et al. (3 more authors) (2024) Efficient centralised and decentralised Gaussian process approaches for online tracking within Stone Soup. In: Proceedings of the 2024 27th International Conference on Information Fusion (FUSION). 2024 27th International Conference on Information Fusion (FUSION), 08-11 Jul 2024, Venice, Italy. Institute of Electrical and Electronics Engineers (IEEE) . ISBN 9798350371420

Lyu, C., Liu, X. and Mihaylova, L. orcid.org/0000-0001-5856-2223 (2024) Review of recent advances in Gaussian process regression methods. In: Panoutsos, G., Mahfouf,, M. and Mihaylova, L., (eds.) Advances in Computational Intelligence Systems. UKCI 2022. UKCI'2022 - 21st UK Workshop on Computational Intelligence, 07-09 Sep 2022, Sheffield, UK. Advances in Intelligent Systems and Computing, 1454 . Springer Nature , pp. 226-237. ISBN 978-3-031-55567-1

Liu, X., Lyu, C., Soleymani, S. et al. (2 more authors) (2023) Joint sensor scheduling and target tracking with efficient Bayesian optimisation. In: 2023 Sensor Signal Processing for Defence (SSPD) Proceedings. 2023 Sensor Signal Processing for Defence Conference (SSPD), 12-13 Sep 2023, Edinburgh, Scotland. Institute of Electrical and Electronics Engineers (IEEE) . ISBN 979-8-3503-3732-7

Lyu, C., Liu, X. and Mihaylova, L. orcid.org/0000-0001-5856-2223 (2022) Efficient factorisation-based Gaussian process approaches for online tracking. In: Proceedings of the 2022 25th International Conference on Information Fusion (FUSION). 2022 25th International Conference on Information Fusion (FUSION), 04-07 Jul 2022, Linköping, Sweden. Institute of Electrical and Electronics Engineers . ISBN 9781665489416

Liu, X., Lyu, C., George, J. et al. (2 more authors) (2022) A learning distributed Gaussian process approach for target tracking over sensor networks. In: Proceedings of the 2022 25th International Conference on Information Fusion (FUSION). 2022 25th International Conference on Information Fusion (FUSION), 04-07 Jul 2022, Linköping, Sweden. Institute of Electrical and Electronics Engineers . ISBN 9781665489416

Liu, X., Li, Q., Liang, J. et al. (9 more authors) (2022) Advanced machine learning methods for autonomous classification of ground vehicles with acoustic data. In: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV. SPIE.Defense + Commercial Sensing, 04-07 Apr 2022, Tallahassee, FL, USA. Proceedings of SPIE, 12113 . SPIE - Society of Photo-optical Instrumentation Engineers , 121131P.