TIANCHENG
LI
Investigador en el periodo 2014-2018
Javier
Bajo Pérez
Publicaciones en las que colabora con Javier Bajo Pérez (14)
2017
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Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors
Information Sciences, Vol. 388-389, pp. 172-190
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Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection
Applied Soft Computing Journal, Vol. 60, pp. 436-446
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Track a smoothly maneuvering target based on trajectory estimation
20th International Conference on Information Fusion, Fusion 2017 - Proceedings
2016
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Effectiveness of Bayesian filters: An information fusion perspective
Information Sciences, Vol. 329, pp. 670-689
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MEAP: Approximate optimal estimate extraction for the SMC-PHD filter
FUSION 2016 - 19th International Conference on Information Fusion, Proceedings
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Special issue on distributed computing and artificial intelligence
Frontiers of Information Technology and Electronic Engineering
2015
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A Novel Pilot Expansion Approach for MIMO Channel Estimation and Tracking
2015 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2015
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An adaptive particle filter for indoor robot localization
Advances in Intelligent Systems and Computing
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Multi-source data clustering
2015 18th International Conference on Information Fusion, Fusion 2015
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Multi-target detection and estimation with the use of massive independent, identical sensors
Proceedings of SPIE - The International Society for Optical Engineering
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On the bias of the SIR filter in parameter estimation of the dynamics process of state space models
Advances in Intelligent Systems and Computing
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On the use and misuse of Bayesian filters
2015 18th International Conference on Information Fusion, Fusion 2015
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Resampling methods for particle filtering: identical distribution, a new method, and comparable study
Frontiers of Information Technology and Electronic Engineering, Vol. 16, Núm. 11, pp. 969-984
2014
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Indoor location system for security guards in subway stations
Advances in Intelligent Systems and Computing