Publications

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Castro, R., M. J. Coates, and R. D. Nowak, "Maximum likelihood topology identification from end-to-end measurements", DIMACS Workshop on Internet Measurement, Mapping and Modeling, Piscataway, New Jersey, Feb. 2002.  Download: castro_IMMM02.pdf (43.44 KB)
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Castro, R., M. J. Coates, and R. D. Nowak, "Likelihood based hierarchical clustering", IEEE Trans. on Signal Processing, vol. 52, pp. 2308- 2321, 08/2004. Abstract  Download: castro_TSP04.pdf (462.22 KB)
Coates, M. J., B. Erikkson, R. D. Nowak, and C. Scott, Learning to Satisfy, , Montreal, QC, Canada, Department of Electrical and Computer Engineering, McGill University, 11/2006. Abstract  Download: coates_TechReport06.pdf (184.77 KB)
Thouin, F., M. J. Coates, B. Erikkson, R. D. Nowak, and C. Scott, "LEARNING TO SATISFY", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, USA, 04/2008.  Download: thouin_ICASSP08.pdf (118.96 KB)
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Santorelli, A., Y. Li, E. Porter, M. Popovic, and M. J. Coates, "Investigation of classification algorithms for a prototype microwave breast cancer monitor", in Proc. European Conf. Antennas and Propag. (EuCAP), The Hague, The Netherlands, Apr. 2014.
Coates, M. J., A. O. Hero, R. D. Nowak, and B. Yu, "Internet tomography", IEEE Signal Processing, vol. 19, issue 3, pp. 47-65, May 2002.  Download: coates_SPMagazine02.pdf (3.95 MB)
Ding, T., and M. J. Coates, "Implementation of the Daum-Huang Exact Flow Particle Filter", IEEE Statistical Signal Processing Workshop, Ann Arbor, Michigan, USA, Aug 2012.  Download: DH_filter_SSP.pdf (188.64 KB)
Li, Y., E. Porter, and M. J. Coates, "Imaging-based Classification Algorithms on Clinical Trial Data with Injected Tumour Responses", European Conf. Antennas and Propag. (EuCAP), Lisbon, Portugal, 04/2015.  Download: EuCAP2015_Li.pdf (356.6 KB)
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Nannuru, S., and M. J. Coates, "Hybrid multi-Bernoulli CPHD filter for superpositional sensors", SPIE Defense + Security, Baltimore, MD, USA, International Society for Optics and Photonics, June 2014.  Download: NANNURU_SPIE2014.pdf (288.96 KB)
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Üstebay, D., M. J. Coates, and M. G. Rabbat, "Greedy gossip with eavesdropping", 3rd International Symposium on Wireless Pervasive Computing (ISWPC), Santorini, Greece, pp. 759-763, May 2008. Abstract
Üstebay, D., B. N. Oreshkin, M. J. Coates, and M. G. Rabbat, "Greedy gossip with eavesdropping", IEEE Transactions on Signal Processing, vol. 58, issue 7, pp. 3765 - 3776, July 2010. Abstract  Download: GGE_one_column.pdf (882.07 KB)
Valenchon, J., "Graph-based machine learning algorithms for predicting disease outcomes", Electrical and Computer Engineering, vol. Master, Montreal, McGill, pp. 108, 03/2019.  Download: Thesis_v1_revised_Juliette_Valenchon.pdf (5.39 MB)
Yu, J. Y., M. J. Coates, and M. G. Rabbat, "Graph-Based Compression for Particle Filters", IEEE Trans. Signal Inf. Process. Netw. , vol. 5, issue 3, 09/2019.  Download: Graph-Based Compression for Distributed Particle Filters.pdf (416.04 KB)
Nannuru, S., M. J. Coates, M. G. Rabbat, and B. Stephane, "General solution and approximate implementation of the multisensor multitarget CPHD filter", IEEE Int. Conf. Acoustics Speech and Sig. Proc. (ICASSP), Brisbane, Australia, April 2015.
Pal, S., and M. Coates, "Gaussian sum particle flow filter", Proc. IEEE Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), Curacao, The Netherlands, IEEE, 12/2017.  Download: CAMSAP_v8.pdf (217.44 KB)
Zhao, L., J. Wang, Y. Li, and M. J. Coates, "Gaussian particle flow implementation of PHD filter", Proc. SPIE Conf. Signal Proc., Sensor Fusion, Target Recog., 04/2016.  Download: Gaussian_particle_flow_implementation_of_PHD_filter.pdf (556.36 KB)
Nannuru, S., M. J. Coates, and A. Doucet, "A Gaussian mixture ensemble transform filter for vector observations", SPIE Defense, Security, and Sensing, Baltimore, MD, USA, May 2013.  Download: Nannuru_SPIE2013.pdf (409.84 KB); spie2013_v7_0.pdf (409.84 KB)
Tabatabaei, S. S., M. J. Coates, and M. G. Rabbat, "GANC: Greedy agglomerative normalized cut", Pattern Recognition, vol. 45, issue 2, pp. 12, Februrary 2012.  Download: GANC.pdf (553.87 KB); ganc_v1.0.zip (186.74 KB)
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