Kalman filtering of a space-time Markov random field
In this paper, finite-dimensional recursive filters for space-time Markov random fields are derived. These filters can be used with the expectation maximization (EM) algorithm to yield maximum likelihood estimates of the parameters of the model. (C) 2002 Elsevier Science Ltd. All rights reserved.
kalman filtering hidden space-time markov models expectation maximization algorithm