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Mark Briers

Introduction

I am a PhD student supervised by Arnaud Doucet (see him here working hard) within the Signal Processing Group and am a member of the STELLA research group. I work alongside Simon Maskell at QinetiQ. I am extremely fortunate to hold an Industrial Fellowship Award from the Royal Commission for the Exhibition of 1851. I am a member of Fitzwilliam College.

Contact details

  • E-mail: mb511 --at-- eng.cam.ac.uk
  • Department Address: University of Cambridge, Department of Engineering, Trumpington Street, Cambridge CB2 1PZ
  • Telephone: +44 1223 3 32767
  • Fax: +44 1223 3 32662

Research

Current area of research is in Bayesian inference. Areas of particular interest to me include:

  • Sequential inference (applied to multi-target tracking)
  • Monte Carlo and Sequential Monte Carlo (particle methods)

Publications

Preprints of my publications can be obtained below. I will endeavour to update this list as frequently as possible.

  • Current work
    • Briers, M., and Doucet, A., Efficient Bayesian Inference in Hidden Semi-Markov Models
    • Briers, M., Doucet, A., Maskell, S., Monte Carlo Smoothing for State-Space Models

  • 2006
    • Briers, M., Doucet, A., and Gottardo, R., Density and Marginal Likelihood Estimation for Markov chain Monte Carlo with Applications in Bioinformatics, to appear at JSM 2006.
    • Klass, M. Briers, M., de Freitas, N., Doucet, A., Maskell, S.R., Lang, D., Fast Particle Smoother: If I Had a Million Particles, 23rd International Conference on Machine Learning. pdf
    • Doucet, A., Briers, M., and Senecal, S., Efficient Block Sampling Strategies for Sequential Monte Carlo Methods, to appear in the Journal of Computational and Graphical Statistics. pdf
    • Briers, M., Doucet, A., Maskell, S., and Horridge, P., Fixed-lag sequential Monte Carlo data association, SPIE 2006.
    • Maskell, S., Weekes, K., and Briers, M., Distributed Tracking of Stealthy Targets Using Particle Filter, 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, 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.
    • Briers, Doucet, Singh, Sequential Auxiliary Particle Belief Propagation, International Conference on Information Fusion, 2005. pdf & results (avi) & results produced by Kevin Weekes (avi)
    • Vermaak, Maskell, Briers, and Perez, Multi-target tracking and existence, International Conference on Information Fusion, 2005. pdf
    • Vermaak, Maskell, Briers, and Perez, Bayesian visual tracking with existence process, International Conference Image Processing, 2005.
    • Vermaak, Maskell, Briers, Online Sensor Registration, IEEE Aerospace Big Sky conference, 2005. pdf

  • 2004
    • Briers, Robust Interpretation of Structured Information, PhD Transfer Report, August 2004. (e-mail me)
    • Briers, Doucet, and Maskell, Smoothing Algorithms for State-Space Models, Cambridge University Engineering Department Technical Report, CUED/F-INFENG/TR.498, August 2004. Currently under revision - please e-mail me for a copy of the old version
    • Maskell, Briers, and Wright, Efficient Hypothesis Management, Proceedings of SPIE, 2004. pdf
    • Rutten, Maskell, Briers, and Gordon, Multipath Track Association for over the horizon radar using Lagrangian relaxation, Proceedings of SPIE, 2004.
    • Maskell, Everitt, Wright, and Briers Multi-Target Out-of-Sequence Data Association, Conference of Information Fusion, 2004. pdf
    • Maskell, Briers, and Wright, Tracking using a radar and a problem specific proposal distribution in a particle filter, IEE Conference on Multi-Target Tracking, 2004.

  • 2003
    • Briers, Maskell, and Philpott, Two-Dimensional Assignment with Merged Measurements using Lagrangian Relaxation, Proceedings of SPIE, 2003.
    • Briers, Maskell, and Wright, A Rao-Blackwellised Unscented Kalman Filter, Conference of Information Fusion, 2003.
  • 2002
    • Briers and Copsey, A Mixture Model Approach to Automatic Radar Target Recognition using WinBUGS. Radar 2002.
    • Wright, Maskell, Briers, and Lycett, Robust Tracking of Stealthy Targets and Multi-Sensor Fusion, at RAES Classified conference on Data Fusion, 2002.

Other Interests

I like to play football, squash, and have been known to visit the gym on occasion. I support St Helens Rugby League Football Club (the Saints) and Liverpool Football Club - the top clubs in their respective sports!.

Some conference photographs:

Collaborators

Alphabetical list of links: I work on the ARGUS II DARP and D&IF DTC (amongst other things). I am the administrator for the Sequential Monte Carlo Methods homepage.