An equivalence of the EM and ICE algorithm for exponential family
Jean‐François Delmas · IEEE Transactions on Signal Processing · 1997
We compare the expectation maximization (EM) algorithm with another iterative approach, namely, the iterative conditional estimation (ICE) algorithm, which was formally introduced in the field of statistical segmentation of images. We show that in case the probability density function (PDF) belongs to the exponential family, the EM algorithm is one particular case of the ICE algorithm.