DocumentCode
1396590
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
Volume
45
Issue
10
fYear
1997
fDate
10/1/1997 12:00:00 AM
Firstpage
2613
Lastpage
2615
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;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.640732
Filename
640732
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