Publications

 

2014

R Lane, M Briers, T Cooper and S Maskell, Efficient data structures for large scale trackingProceedings of International Conference on Data Fusion 2014, IEEE website


2012

G Peters, M Briers, P Shevchenko and A Doucet, Calibration and filtering for multi factor commodity models with seasonality: incorporating panel data from futures contracts, arxiv


2010

M Briers, A Doucet and S Maskell, Smoothing Algorithms for State-space Models, Annals Institute Statistical Mathematics, vol. 62, no. 1, pp. 61-89, 2010.


2008

M Briers, Online Marginal Smoothed MAP Estimation using Sequential Monte Carlo, SAMSI workshop on Sequential Monte Carlo, NC, USA, September 2008.


M Ebden, M Briers, and S Roberts, Decentralized Predictive Sensor Allocation, 47th IEEE Conference on Decision and Control.


2007

M Briers, Improved Monte Carlo Methods for State-Space Models, PhD Thesis (pdf)


 

2006

S R Maskell, R G Everitt, R Wright and M Briers. Multi-Target Out-of-Sequence Data Association: Tracking Using Graphical Models. Information Fusion Journal, 7(4):434-447, December 2006.


M Briers,  A Doucet, and R Gottardo, Density and Marginal Likelihood Estimation for Markov chain Monte Carlo with Applications in Bioinformatics, Joint Statistical Meeting 2006.


M Klass, M Briers, N de Freitas, A Doucet, S R Maskell, and D Lang, Fast Particle Smoother: If I Had a Million Particles, 23rd International Conference on Machine Learning (pdf).


A Doucet, M Briers, and S Senecal, Efficient Block Sampling Strategies for Sequential Monte Carlo Methods, Journal of Computational and Graphical Statistics, 15(3):693-711, 2006 (pdf).


M Briers, A Doucet, S R Maskell, and P R Horridge, Fixed-lag sequential Monte Carlo data association, SPIE 2006.


S R Maskell, K Weekes, and M Briers, Distributed Tracking of Stealthy Targets Using Particle Filters, IEE Seminar on Target Tracking: Algorithms and Applications.


2005

M Briers, S R Maskell, S Reece, S J Roberts, I Rezek, V D Dang, A Rogers, and N R Jennings, Dynamic sensor coalition formation to assist the distributed tracking of targets: Application to wide-area surveillance, IEE Conference on Homeland Security, 2005.


M Briers, A Doucet, and S S Singh, Sequential Auxiliary Particle Belief Propagation, International Conference on Information Fusion, 2005 (pdf).


J Vermaak,S R Maskell, M Briers, and P Perez, Multi-target tracking and existence, International Conference on Information Fusion, 2005.


J Vermaak, S R Maskell, M Briers, and P Perez, Bayesian visual tracking with existence process, International Conference Image Processing, 2005.


J Vermaak, S R Maskell, M Briers, Online Sensor Registration, IEEE Aerospace Big Sky conference, 2005 (pdf).


2004

M Briers, Robust Interpretation of Structured Information, PhD Transfer Report, August 2004.


M Briers, A Doucet, S Maskell, Smoothing Algorithms for State-Space Models, Cambridge University Engineering Department Technical Report, CUED/F-INFENG/TR.498, 2004.


S R Maskell, M Briers, R Wright, Efficient Hypothesis Management, Proceedings of SPIE 2004.


M Rutten, S R Maskell, M Briers, and N J Gordon, Multipath Track Association for over the horizon radar using Lagrangian relaxation, Proceedings of SPIE, 2004.


S R Maskell, R G Everitt, R Wright, and M Briers Multi-Target Out-of-Sequence Data Association, Conference of Information Fusion, 2004 (pdf).


S R Maskell, M Briers, and R Wright, Tracking using a radar and a problem specific proposal distribution in a particle filter, IEE Conference on Multi-Target Tracking, 2004.