| Approximate dynamic programming for communication-constrained sensor network management JL Williams, JW Fisher III, AS Willsky IEEE Transactions on signal Processing 55 (8), 4300-4311, 2007 | 183 | 2007 |
| Marginal multi-Bernoulli filters: RFS derivation of MHT, JIPDA, and association-based member JL Williams IEEE Transactions on Aerospace and Electronic Systems 51 (3), 1664-1687, 2015 | 156 | 2015 |
| Cost-function-based Gaussian mixture reduction for target tracking JL Williams, PS Maybeck Proceedings of the sixth international conference of Information fusion 2 …, 2003 | 146 | 2003 |
| Message passing algorithms for scalable multitarget tracking F Meyer, T Kropfreiter, JL Williams, R Lau, F Hlawatsch, P Braca, MZ Win Proceedings of the IEEE 106 (2), 221-259, 2018 | 113 | 2018 |
| Approximate evaluation of marginal association probabilities with belief propagation JL Williams, RA Lau IEEE Transactions on Aerospace and Electronic Systems 50 (4), 2942-2959, 2014 | 104 | 2014 |
| Information theoretic sensor management JL Williams Massachusetts Institute of Technology, 2007 | 101 | 2007 |
| Gaussian Mixture Reduction of Tracking Multiple Maneuvering Targets in Clutter JL Williams | 88 | 2003 |
| An efficient, variational approximation of the best fitting multi-Bernoulli filter JL Williams IEEE Transactions on Signal Processing 63 (1), 258-273, 2015 | 79 | 2015 |
| Poisson multi-Bernoulli mixture filter: direct derivation and implementation ÁF García-Fernández, JL Williams, K Granström, L Svensson IEEE Transactions on Aerospace and Electronic Systems 54 (4), 1883-1901, 2018 | 72 | 2018 |
| Hybrid Poisson and multi-Bernoulli filters JL Williams 2012 15th International Conference on Information Fusion, 1103-1110, 2012 | 64 | 2012 |
| An approximate dynamic programming approach to a communication constrained sensor management problem JL Williams, JW Fisher III, AS Willsky Proc. Eighth International Conference of Information Fusion, 2005 | 42 | 2005 |
| Cost-function-based hypothesis control techniques for multiple hypothesis tracking JL Williams, PS Maybeck Mathematical and Computer Modelling 43 (9-10), 976-989, 2006 | 40 | 2006 |
| Performance guarantees for information theoretic active inference JL Williams, JW Fisher III, AS Willsky Artificial Intelligence and Statistics, 620-627, 2007 | 39 | 2007 |
| Bayesian Methods in the Search for MH370 S Davey, N Gordon, I Holland, M Rutten, J Williams Springer Singapore, 2016 | 35 | 2016 |
| Data association by loopy belief propagation JL Williams, RA Lau 2010 13th International Conference on Information Fusion, 1-8, 2010 | 30 | 2010 |
| Convergence of loopy belief propagation for data association JL Williams, RA Lau 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks …, 2010 | 29 | 2010 |
| Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories K Granström, L Svensson, Y Xia, J Williams, ÁF García-Femández 2018 21st International Conference on Information Fusion (FUSION), 1-5, 2018 | 27 | 2018 |
| Radar sensor management for detection and tracking K White, J Williams, P Hoffensetz 2008 11th International Conference on Information Fusion, 1-8, 2008 | 23 | 2008 |
| Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories Y Xia, K Granström, L Svensson, ÁF García-Fernández, JL Williams arXiv preprint arXiv:1911.09025, 2019 | 18* | 2019 |
| Multiple scan data association by convex variational inference JL Williams, RA Lau IEEE Transactions on Signal Processing 66 (8), 2112-2127, 2018 | 17 | 2018 |
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
