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A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking
Maneuvering target tracking is a challenging problem for sensor systems because of the unpredictability of the targets' motions.
Adaptive Kernel Kalman Filter
With this filter, the arbitrary predictive and posterior distributions of hidden states are approximated using the empirical kernel mean embeddings (KMEs) in reproducing kernel Hilbert spaces (RKHSs).
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