Rotation invariant texture descriptors based on Gaussian Markov random fields for classification

Pattern Recognition Letters ◽

10.1016/j.patrec.2015.10.006 ◽

2016 ◽

Vol 69 ◽

pp. 15-21 ◽

Author(s):

Chathurika Dharmagunawardhana ◽

Sasan Mahmoodi ◽

Michael Bennett ◽

Mahesan Niranjan

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Rotation Invariant ◽

Gaussian Markov Random Fields ◽

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Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification

Computer Vision and Image Understanding ◽

10.1016/j.cviu.2020.102931 ◽

2020 ◽

Vol 194 ◽

pp. 102931 ◽

Author(s):

Yasseen Almakady ◽

Sasan Mahmoodi ◽

Joy Conway ◽

Michael Bennett

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Texture Classification ◽

Three Dimensional ◽

Rotation Invariant ◽

Gaussian Markov Random Fields ◽

Invariant Features ◽

Markov Random ◽

Volumetric Texture

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Rotation invariant iris feature extraction using Gaussian Markov random fields with non-separable wavelet

Neurocomputing ◽

10.1016/j.neucom.2009.09.016 ◽

2010 ◽

Vol 73 (4-6) ◽

pp. 883-894 ◽

Author(s):

Jing Huang ◽

Xinge You ◽

Yuan Yuan ◽

Feng Yang ◽

Lin Lin

Keyword(s):

Feature Extraction ◽

Random Fields ◽

Markov Random Fields ◽

Rotation Invariant ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

Iris Feature Extraction

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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 ◽

Author(s):

Daniel Peter Simpson ◽

Ian W. Turner ◽

A. N. Pettitt

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Linear Constraints ◽

Gaussian Markov Random Fields ◽

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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 ◽

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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Adaptive Gaussian Markov random fields with applications in human brain mapping

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/j.1467-9876.2007.00580.x ◽

2007 ◽

Vol 56 (3) ◽

pp. 327-345 ◽

Author(s):

A. Brezger ◽

L. Fahrmeir ◽

A. Hennerfeind

Keyword(s):

Human Brain ◽

Brain Mapping ◽

Random Fields ◽

Markov Random Fields ◽

Human Brain Mapping ◽

Gaussian Markov Random Fields ◽

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Rejoinder on: Some recent work on multivariate Gaussian Markov random fields

Test ◽

10.1007/s11749-018-0608-0 ◽

2018 ◽

Vol 27 (3) ◽

pp. 554-569 ◽

Author(s):

Ying C. MacNab

Keyword(s):

Recent Work ◽

Random Fields ◽

Markov Random Fields ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

Multivariate Gaussian

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Comments on: Some recent work on multivariate Gaussian Markov random fields

Test ◽

10.1007/s11749-018-0609-z ◽

2018 ◽

Vol 27 (3) ◽

pp. 545-548

Author(s):

Stephan R. Sain ◽

Reinhard Furrer

Keyword(s):

Recent Work ◽

Random Fields ◽

Markov Random Fields ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

Multivariate Gaussian

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Theory of Gaussian Markov random fields

C&H/CRC Monographs on Statistics & Applied Probability - Gaussian Markov Random Fields ◽

10.1201/9780203492024.ch2 ◽

2005 ◽

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Gaussian Markov Random Fields ◽

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On stochastic elliptic boundary value problems associated with gaussian markov random fields

Stochastic Partial Differential Equations and Their Applications - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0007336 ◽

2005 ◽

pp. 222-237 ◽

Author(s):

Loren D. Pitt ◽

Daoyi Wang

Keyword(s):

Boundary Value Problems ◽

Random Fields ◽

Markov Random Fields ◽

Elliptic Boundary ◽

Boundary Value ◽

Elliptic Boundary Value Problems ◽

Elliptic Boundary Value ◽

Gaussian Markov Random Fields ◽

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Optimization of the antithetic Gibbs sampler for Gaussian Markov random fields

COMPSTAT ◽

10.1007/978-3-642-57678-2_35 ◽

2000 ◽

pp. 289-294

Author(s):

Johannes M. Dreesman

Keyword(s):

Gibbs Sampler ◽

Random Fields ◽

Markov Random Fields ◽

Gaussian Markov Random Fields ◽

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