Estimation for hidden Markov random fields

被引：1

作者：

Elliott, RJ

Aggoun, L

机构：

[1] UNIV ALBERTA,DEPT MATH SCI,EDMONTON,AB T6G 2G1,CANADA

[2] UNIV AUCKLAND,DEPT STAT,AUCKLAND,NEW ZEALAND

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1996年 / 50卷 / 03期

关键词：

Random field; noisy observation; parameter estimation;

D O I：

10.1016/0378-3758(95)00062-3

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A finite state Markov random field is noisily observed via a second finite state process. The parameters of the model are estimated, as well as the most likely signal given the observations.

引用

页码：343 / 351

页数：9

共 50 条

[41] Estimation of binary Markov random fields using Markov chain Monte Carlo
Smith, D
Smith, M
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2006, 15 (01) : 207 - 227
[42] MARKOV RANDOM FIELDS AND GIBBS RANDOM FIELDS
SHERMAN, S
ISRAEL JOURNAL OF MATHEMATICS, 1973, 14 (01) : 92 - 103
[43] Fusion of hidden Markov random field models and its Bayesian estimation
Destrempes, Francois
Angers, Jean-Francois
Mignotte, Max
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (10) : 2920 - 2935
[44] A dense class of Markov random fields and associated parameter estimation
Descombes, X
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 1997, 8 (03) : 299 - 316
[45] Maximum likelihood estimation of noisy Gaussian Markov random fields
Coli, M
Ippoliti, L
ITI 2002: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES, 2002, : 85 - 90
[46] Markov random fields and block matching for multiresolution motion estimation
Leconge, R
Laligant, O
Truchetet, F
HIGH-SPEED IMAGING AND SEQUENCE ANALYSIS II, 2000, 3968 : 10 - 21
[47] Adaptive Gaussian Markov random fields for child mortality estimation
Aleshin-Guendel, Serge
Wakefield, Jon
BIOSTATISTICS, 2024, 26 (01)
[48] Minimum Conditional Description Length Estimation for Markov Random Fields
Reyes, Matthew G.
Neuhoff, David L.
2016 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA), 2016,
[49] Cover Estimation and Payload Location using Markov Random Fields
Quach, Tu-Thach
MEDIA WATERMARKING, SECURITY, AND FORENSICS 2014, 2014, 9028
[50] Motion estimation with Markov random fields by using a direct algorithm
Kardouchi, M
Dipanda, A
Legrand, L
NEW IMAGE PROCESSING TECHNIQUES AND APPLICATIONS: ALGORITHMS, METHODS, AND COMPONENTS II, 1997, 3101 : 95 - 103

← 1 2 3 4 5 →