An equivalence of the EM and ICE algorithm for exponential family

被引：41

作者：

Delmas, JP

机构：

[1] Département Signal et Image, Institut National Des Télécommunications, Evry

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1997年 / 45卷 / 10期

关键词：

D O I：

10.1109/78.640732

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this correspondence, 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.

引用

页码：2613 / 2615

页数：3

共 11 条

[1]

Belouchrani A, 1994, P EUSIPCO, P768

[2]

BRAATHEN B, 1993, MACHINE GRAPHICS VIS, V2, P39

[3] Estimation of fuzzy gaussian mixture and unsupervised statistical image segmentation [J].

Caillol, H ;

Pieczynski, W ;

Hillion, A .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (03) :425-440

[4] MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J].

DEMPSTER, AP ;

LAIRD, NM ;

RUBIN, DB .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01) :1-38

[5]

FESSLER JA, 1993, P IEEE C ACOUST SPEE, V4, P1

[6]

LAIRD N, 1993, HDB STAT, V9

[7]

PENG A, 1995, GRAPHICAL MODELS IMA, V57

[8]

PIECZYNSKI W, 1995, REV TRAITEMENT SIGNA, V11, P142

[9]

PIECZYNSKI W, 1992, MACHINE GRAPHICS VIS, V1

[10] MIXTURE DENSITIES, MAXIMUM-LIKELIHOOD AND THE EM ALGORITHM [J].

REDNER, RA ;

WALKER, HF .

SIAM REVIEW, 1984, 26 (02) :195-237

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