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Use of the Kalman filter for inference in state-space models with unknown noise distributions.
John L. Maryak
James C. Spall
Bryan D. Heydon
Published in:
IEEE Trans. Autom. Control. (2004)
Keyphrases
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kalman filter
state space
state space model
kalman filtering
particle filter
state estimation
object tracking
proposal distribution
search algorithm
probabilistic model
probability distribution
random fields
target tracking
mean shift
bayesian networks
artificial neural networks
reinforcement learning