selected publications
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academic article
- Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements. IEEE Transactions on Signal and Information Processing over Networks. 4:510-518. 2017
- Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering. Signal Processing. 120:532-536. 2015
- Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking. Digital Signal Processing. 25:1-16. 2013
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blog posting
- How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking?. arXiv (Cornell University). 2015
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conference paper
- A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation. HAL (Le Centre pour la Communication Scientifique Directe). 2015
- An Expectation Maximisation Algorithm for Behaviour Analysis in Video. HAL (Le Centre pour la Communication Scientifique Directe). 2015
- Sequential Markov Chain Monte Carlo for multi-target tracking with correlated RSS measurements. . 1-6. 2015
- MCMC-based tracking and identification of leaders in groups. . 112-119. 2011