Title :
An equivalence of the EM and ICE algorithm for exponential family
Author :
Delmas, Jean Pierre
Author_Institution :
Dept. Signal et Image, Inst. Nat. des Telecommun., Evry, France
fDate :
10/1/1997 12:00:00 AM
Abstract :
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
Keywords :
exponential distribution; iterative methods; maximum likelihood estimation; signal processing; EM algorithm; ICE algorithm; PDF; expectation maximization algorithm; exponential family; iterative conditional estimation algorithm; maximum likelihood estimation; probability density function; signal processing; statistical image segmentation; Ice; Image segmentation; Iterative algorithms; Iterative methods; Maximum likelihood estimation; Parameter estimation; Probability density function; Probability distribution; Signal processing algorithms; Terminology;
Journal_Title :
Signal Processing, IEEE Transactions on
