Face recognition using survival exponential entropy: Based on Markov Random Field modeling

2011 IEEE 3rd International Conference on Communication Software and Networks ◽

10.1109/iccsn.2011.6013899 ◽

2011 ◽

Author(s):

Bao Jin ◽

Xie Mei

Keyword(s):

Face Recognition ◽

Random Field ◽

Markov Random Field ◽

Field Modeling ◽

Markov Random ◽

Exponential Entropy

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Bayesian Face Recognition Based on Markov Random Field Modeling

Advances in Biometrics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01793-3_5 ◽

2009 ◽

pp. 42-51 ◽

Author(s):

Rui Wang ◽

Zhen Lei ◽

Meng Ao ◽

Stan Z. Li

Keyword(s):

Face Recognition ◽

Random Field ◽

Markov Random Field ◽

Field Modeling ◽

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Image Segmentation by Markov Random Field Modeling

Image Processing with MATLAB ◽

10.1201/9781420008937-11 ◽

2008 ◽

pp. 295-326

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Field Modeling ◽

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A comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild

IET Computer Vision ◽

10.1049/iet-cvi.2015.0222 ◽

2016 ◽

Vol 10 (6) ◽

pp. 466-474 ◽

Author(s):

Shervin Rahimzadeh Arashloo

Keyword(s):

Face Recognition ◽

Random Field ◽

Markov Random Field ◽

Multilayer Networks ◽

Markov Random ◽

Field Matching ◽

In The Wild ◽

Matching Models

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Decoding of images using soft-bits and Markov random field modeling

Proceedings International Conference on Image Processing ICIP-02 ◽

10.1109/icip.2002.1038004 ◽

2003 ◽

Author(s):

A. Mertins ◽

O. Jamart

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Modeling ◽

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Traffic data reconstruction based on Markov random field modeling

Inverse Problems ◽

10.1088/0266-5611/30/2/025003 ◽

2014 ◽

Vol 30 (2) ◽

pp. 025003 ◽

Author(s):

Shun Kataoka ◽

Muneki Yasuda ◽

Cyril Furtlehner ◽

Kazuyuki Tanaka

Keyword(s):

Random Field ◽

Markov Random Field ◽

Data Reconstruction ◽

Traffic Data ◽

Field Modeling ◽

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A novel Markov random field based deformable model for face recognition

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2010.5539986 ◽

2010 ◽

Author(s):

Shu Liao ◽

Albert C.S. Chung

Keyword(s):

Face Recognition ◽

Random Field ◽

Markov Random Field ◽

Deformable Model ◽

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Synthesis of cervical tissue second harmonic generation images using Markov random field modeling

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2011.6091526 ◽

2011 ◽

Author(s):

S. Yousefi ◽

N. Kehtarnavaz ◽

A. Gholipour

Keyword(s):

Second Harmonic Generation ◽

Random Field ◽

Harmonic Generation ◽

Markov Random Field ◽

Second Harmonic ◽

Cervical Tissue ◽

Field Modeling ◽

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Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation

Lecture Notes in Computer Science - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005 ◽

10.1007/11566465_29 ◽

2005 ◽

pp. 229-237 ◽

Author(s):

Jue Wu ◽

Albert C. S. Chung

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Medical Image ◽

Medical Image Segmentation ◽

Cross Entropy ◽

Field Modeling ◽

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Hierarchical Markov random field modeling for mammographic structure segmentation using multiple spatial and intensity image resolutions

10.1117/12.348570 ◽

1999 ◽

Author(s):

Rene Vargas-Voracek ◽

Carey E. Floyd, Jr.

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Modeling ◽

Markov Random ◽

Intensity Image

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Unsupervised Bayesian wavelet domain segmentation using Potts-Markov random field modeling

Journal of Electronic Imaging ◽

10.1117/1.2139967 ◽

2005 ◽

Vol 14 (4) ◽

pp. 043011 ◽

Author(s):

Ali Mohammad-Djafari

Keyword(s):

Random Field ◽

Markov Random Field ◽

Wavelet Domain ◽

Field Modeling ◽

Markov Random ◽

Bayesian Wavelet

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