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Estimated truth denoted by stars using EM ML estimation as in classic STAPLE (left) comparing to estimated truth using EM MAP estimation with data adaptive prior (right). In ML approach, the estimated distribution pattern seems to be correct, but is shifted to the upper right. In MAP approach, the bias gets properly estimated and everything is converging to a reasonable result.
