Parameter estimation in Markov random field image modeling with imperfect observations. A comparative study

Pattern Recognition Letters ◽

10.1016/s0167-8655(03)00067-9 ◽

2003 ◽

Vol 24 (14) ◽

pp. 2377-2389 ◽

Author(s):

M.V. Ibáñez ◽

A. Simó

Keyword(s):

Parameter Estimation ◽

Comparative Study ◽

Random Field ◽

Markov Random Field ◽

Image Modeling ◽

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A comparative study of Gaussian geostatistical models and Gaussian Markov random field models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2008.01.012 ◽

2008 ◽

Vol 99 (8) ◽

pp. 1681-1697 ◽

Author(s):

Hae-Ryoung Song ◽

Montserrat Fuentes ◽

Sujit Ghosh

Keyword(s):

Comparative Study ◽

Random Field ◽

Markov Random Field ◽

Gaussian Markov Random Field ◽

Markov Random ◽

Geostatistical Models

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Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images

International Journal of Remote Sensing ◽

10.1080/01431161.2015.1049381 ◽

2015 ◽

Vol 36 (11) ◽

pp. 2851-2879 ◽

Author(s):

H. Aghighi ◽

J. Trinder ◽

S. Lim ◽

Y. Tarabalka

Keyword(s):

Parameter Estimation ◽

Random Field ◽

Markov Random Field ◽

Super Resolution ◽

Adaptive Smoothing ◽

Markov Random ◽

Spatially Adaptive ◽

Resolution Mapping ◽

Super Resolution Mapping ◽

Smoothing Parameter Estimation

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Edge detection using markov random field models—optimization and parameter estimation by mean field annealing

Electronics and Communications in Japan (Part III Fundamental Electronic Science) ◽

10.1002/ecjc.4430780703 ◽

1995 ◽

Vol 78 (7) ◽

pp. 21-33 ◽

Author(s):

Hiroyuki Kudo ◽

Tsuneo Saito ◽

Michiko Kawauchi

Keyword(s):

Parameter Estimation ◽

Edge Detection ◽

Random Field ◽

Markov Random Field ◽

Markov Random ◽

Field Annealing

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Recursive-in-order least-squares parameter estimation algorithm for 2-D noncausal Gaussian Markov random field model

Circuits Systems and Signal Processing ◽

10.1007/bf01183750 ◽

1995 ◽

Vol 14 (1) ◽

pp. 87-110

Author(s):

C. R. Zou ◽

E. I. Plotkin ◽

M. N. S. Swamy ◽

Z. Y. He

Keyword(s):

Parameter Estimation ◽

Random Field ◽

Least Squares ◽

Markov Random Field ◽

Field Model ◽

Estimation Algorithm ◽

Markov Random Field Model ◽

Gaussian Markov Random Field ◽

Markov Random ◽

Parameter Estimation Algorithm

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Parameter estimation in Markov random field contextual models using geometric models of objects

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.485560 ◽

1996 ◽

Vol 18 (3) ◽

pp. 326-329 ◽

Author(s):

S.G. Nadabar ◽

A.K. Jain

Keyword(s):

Parameter Estimation ◽

Random Field ◽

Markov Random Field ◽

Geometric Models ◽

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Markov random field based image labeling with parameter estimation by error backpropagation

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1991.170524 ◽

1991 ◽

Author(s):

J.Y. Kim ◽

H.S. Yang

Keyword(s):

Parameter Estimation ◽

Random Field ◽

Markov Random Field ◽

Image Labeling ◽

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FUZZY MARKOV RANDOM FIELD IMAGE SEGMENTATION ALGORITHM AND COMPARATIVE STUDY

Information Sciences 2007 ◽

10.1142/9789812709677_0114 ◽

2007 ◽

pp. 818-824

Author(s):

LIMING HU ◽

H. D. CHENG ◽

XIANGJUN SHI

Keyword(s):

Image Segmentation ◽

Comparative Study ◽

Random Field ◽

Markov Random Field ◽

Segmentation Algorithm ◽

Markov Random ◽

Image Segmentation Algorithm

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Smoothing parameter estimation framework for Markov random field by using contextual and spectral information

10.1117/12.2028701 ◽

2013 ◽

Author(s):

Hossein Aghighi ◽

John Trinder

Keyword(s):

Parameter Estimation ◽

Random Field ◽

Markov Random Field ◽

Smoothing Parameter ◽

Spectral Information ◽

Markov Random ◽

Smoothing Parameter Estimation

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Parameter estimation in Markov random field based on evolutionary programming

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826) ◽

10.1109/icmlc.2004.1380496 ◽

2005 ◽

Author(s):

Chao Shao ◽

Hou-Kuan Huang ◽

Jian Yu

Keyword(s):

Parameter Estimation ◽

Random Field ◽

Markov Random Field ◽

Evolutionary Programming ◽

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A COMPARATIVE STUDY BETWEEN PAIR-POINT CLIQUE AND MULTI-POINT CLIQUE MARKOV RANDOM FIELD MODELS FOR LAND COVER CLASSIFICATION

ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-7-w1-41-2013 ◽

2013 ◽

Vol XL-7/W1 ◽

pp. 41-44

Author(s):

B. Hu ◽

P. Li

Keyword(s):

Comparative Study ◽

Random Field ◽

Markov Random Field ◽

Land Cover Classification ◽

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