Publications

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2008
√ústebay, 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
2010
√ústebay, 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)
2012
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)
2013
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)
2014
Yao, Z., V. Gripon, and M. G. Rabbat, "A GPU-based Associative Memory using Sparse Neural Networks", High Performance Computing & Simulation (HPCS), 2014 International Conference on, Blogna, Italy, IEEE, pp. 688 - 692, 07/2014.
2015
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.
2016
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)
2017
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)
2018
Zhang, Y., and M. G. Rabbat, "A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, IEEE, 04/2018. Abstract  Download: A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION.pdf (470.2 KB)
2019
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)