Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
نویسندگان
چکیده
where the partition function is defined as Z = ∑ x P̃ (x). Let’s define an approximate distribution Q(X) = ∏ iQi(Xi) as a product of independent marginals Qi(Xi) over each variable in the CRF. For notational clarity we use Qi(Xi) to denote the marginal over variable Xi, rather than the more commonly used Q(Xi). The mean field approximation models a distribution Q(X) that minimizes the KL-divergence D(Q‖P ) [1]: D(Q‖P ) = ∑
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