3D Model based stereo reconstruction using coupled Markov random fields

Computer Analysis of Images and Patterns - Lecture Notes in Computer Science ◽

10.1007/3-540-57233-3_64 ◽

1993 ◽

pp. 494-501 ◽

Cited By ~ 1

Author(s):

Evelyne Lutton

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

3D Model ◽

Model Based ◽

Markov Random ◽

Stereo Reconstruction

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Unified mixture-model based terrain estimation with Markov Random Fields

2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) ◽

10.1109/mfi.2012.6343027 ◽

2012 ◽

Cited By ~ 6

Author(s):

Rina Tse ◽

Nisar Ahmed ◽

Mark Campbell

Keyword(s):

Mixture Model ◽

Random Fields ◽

Markov Random Fields ◽

Model Based ◽

Markov Random

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Integrating Markov random fields and model-based expectation maximization source separation and localization

The Journal of the Acoustical Society of America ◽

10.1121/1.4920143 ◽

2015 ◽

Vol 137 (4) ◽

pp. 2232-2232

Author(s):

Michael I. Mandel ◽

Nicoleta Roman

Keyword(s):

Expectation Maximization ◽

Random Fields ◽

Markov Random Fields ◽

Source Separation ◽

Model Based ◽

Markov Random

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Model-based segmentation and estimation of 3D surfaces from two or more intensity images using Markov random fields

[1990] Proceedings. 10th International Conference on Pattern Recognition ◽

10.1109/icpr.1990.118134 ◽

2002 ◽

Cited By ~ 9

Author(s):

J. Subrahmonia ◽

Y.P. Hung ◽

D.B. Cooper

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Model Based ◽

Markov Random ◽

Intensity Images ◽

3D Surfaces

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A new stochastic image model based on Markov random fields and its application to texture modeling

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5946646 ◽

2011 ◽

Cited By ~ 5

Author(s):

Siamak Yousefi ◽

Nasser Kehtarnavaz

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Image Model ◽

Model Based ◽

Texture Modeling ◽

Markov Random

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Hierarchical Partition Model Based on Markov Random Fields for Hierarchical Phrase-Based Machine Translation

Journal of Software ◽

10.3724/sp.j.1001.2012.04207 ◽

2014 ◽

Vol 23 (12) ◽

pp. 3088-3100

Author(s):

Le-Mao LIU ◽

Tie-Jun ZHAO ◽

Hai-Long CAO ◽

Cong-Hui ZHU ◽

Chun-Yue ZHANG

Keyword(s):

Machine Translation ◽

Random Fields ◽

Markov Random Fields ◽

Partition Model ◽

Model Based ◽

Markov Random ◽

Hierarchical Partition

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An Effective Markov Random Fields based Estimation of Distribution Algorithm and Scheduling of Flexible Job Shop Problem

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.796 ◽

2014 ◽

Vol 134 (6) ◽

pp. 796-805 ◽

Cited By ~ 4

Author(s):

Xinchang Hao ◽

Jing Tian ◽

Hao Wen Lin ◽

Tomohiro Murata

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Job Shop ◽

Estimation Of Distribution Algorithm ◽

Flexible Job Shop ◽

Markov Random ◽

Estimation Of Distribution ◽

Flexible Job Shop Problem

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Sampling from Gaussian Markov random fields conditioned on linear constraints

ANZIAM Journal ◽

10.21914/anziamj.v48i0.131 ◽

2008 ◽

Vol 48 ◽

pp. 1041 ◽

Cited By ~ 3

Author(s):

Daniel Peter Simpson ◽

Ian W. Turner ◽

A. N. Pettitt

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Linear Constraints ◽

Gaussian Markov Random Fields ◽

Markov Random

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Texture modelling in mammograms using Markov random fields

6th International Conference on Image Processing and its Applications ◽

10.1049/cp:19970901 ◽

1997 ◽

Cited By ~ 1

Author(s):

I.G. Mackenzie

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Texture Modelling

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Maximum likelihood and restricted maximum likelihood estimation for a class of Gaussian Markov random fields

Metrika ◽

10.1007/s00184-009-0295-7 ◽

2009 ◽

Vol 74 (2) ◽

pp. 167-183 ◽

Cited By ~ 6

Author(s):

Victor De Oliveira ◽

Marco A. R. Ferreira

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Random Fields ◽

Markov Random Fields ◽

Likelihood Estimation ◽

Restricted Maximum Likelihood ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

Restricted Maximum Likelihood Estimation

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Cloud Telemetry Modeling via Residual Gauss-Markov Random Fields

2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) ◽

10.1109/icin51074.2021.9385544 ◽

2021 ◽

Author(s):

Nicholas C. Landolfi ◽

Daniel C. O'Neill ◽

Sanjay Lall

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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