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Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements., , , and . IEEE Trans. Signal and Information Processing over Networks, 4 (3): 510-518 (2018)Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods., , , , , and . Modeling, Simulation and Visual Analysis of Crowds, volume 11 of The International Series in Video Computing, Springer, (2013)Structural Similarity-Based Object Tracking in Video Sequences., , , and . FUSION, page 1-6. IEEE, (2006)Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information, and . Proceedings of the Seventh International Conference on Information Fusion, II, page 709--716. Mountain View, CA, International Society of Information Fusion, (June 2004)Statistical approach for reconstruction of dynamic brain dipoles based on EEG data., , , and . IJCNN, page 2592-2599. IEEE, (2014)Monte Carlo Algorithm for Maneuvering Target Tracking and Classification., , and . International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, page 531-539. Springer, (2004)A novel approach to estimating current and future states of technical systems., , , , and . ICNC, page 512-516. IEEE Computer Society, (2012)Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments., , and . IEEE Trans. Signal Process., 62 (5): 1245-1255 (2014)Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors., , and . IEEE Trans. Signal Process., 66 (17): 4598-4611 (2018)An End-to-End Deep Neural Network for Facial Emotion Classification., , and . FUSION, page 1-7. IEEE, (2019)