A Model-Based Approach to Gene Clustering with Missing Observation Reconstruction in a Markov Random Field Framework

Juliette Blanchet; Matthieu Vignes

doi:10.1089/cmb.2008.0078

A Model-Based Approach to Gene Clustering with Missing Observation Reconstruction in a Markov Random Field Framework

Journal of Computational Biology ◽

10.1089/cmb.2008.0078 ◽

2009 ◽

Vol 16 (3) ◽

pp. 475-486 ◽

Cited By ~ 8

Author(s):

Juliette Blanchet ◽

Matthieu Vignes

Keyword(s):

Random Field ◽

Markov Random Field ◽

Gene Clustering ◽

Model Based ◽

Markov Random ◽

Missing Observation

Download Full-text

A new look at Markov random field (MRF) model-based MR image analysis

10.1117/12.596251 ◽

2005 ◽

Cited By ~ 1

Author(s):

Tianhu Lei ◽

Jayaram K. Udupa

Keyword(s):

Image Analysis ◽

Random Field ◽

Markov Random Field ◽

Mr Image ◽

Model Based ◽

Markov Random ◽

New Look

Download Full-text

Region-based active contour model based on markov random field to segment images with intensity non-uniformity and noise

Journal of Medical Signals & Sensors ◽

10.4103/2228-7477.103149 ◽

2012 ◽

Vol 2 (1) ◽

pp. 17 ◽

Cited By ~ 4

Author(s):

Kamran Kazemi ◽

Zahra Shahvaran ◽

MohammadSadegh Helfroush ◽

Nassim Jafarian

Keyword(s):

Random Field ◽

Markov Random Field ◽

Active Contour ◽

Active Contour Model ◽

Model Based ◽

Markov Random ◽

Contour Model

Download Full-text

A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11752912_5 ◽

2006 ◽

pp. 25-34

Author(s):

Konstantinos Blekas

Keyword(s):

Random Field ◽

Mixture Model ◽

Markov Random Field ◽

Model Based ◽

Markov Random

Download Full-text

Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images

2012 International Conference on Digital Image Computing Techniques and Applications (DICTA) ◽

10.1109/dicta.2012.6411706 ◽

2012 ◽

Author(s):

Rasa Vafaie ◽

Javad Alirezaie ◽

Paul Babyn

Keyword(s):

Random Field ◽

Markov Random Field ◽

Ultrasound Images ◽

Model Based ◽

Markov Random

Download Full-text

Traffic Video Image Segmentation Model Based on Bayesian and Spatio-Temporal Markov Random Field

Journal of Physics Conference Series ◽

10.1088/1742-6596/910/1/012041 ◽

2017 ◽

Vol 910 ◽

pp. 012041

Author(s):

Jun Zhou ◽

Xu Bao ◽

Dawei Li ◽

Yongwen Yin

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Video Image ◽

Model Based ◽

Markov Random ◽

Traffic Video ◽

Spatio Temporal

Download Full-text

A New Hybrid PDE Denoising Model Based on Markov Random Field

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06) ◽

10.1109/icicic.2006.211 ◽

2006 ◽

Author(s):

Ji-ying Wu ◽

Qiu-qi Ruan

Keyword(s):

Random Field ◽

Markov Random Field ◽

Model Based ◽

Markov Random

Download Full-text

A Markov random field model-based approach to image interpretation

Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.1989.37888 ◽

2003 ◽

Cited By ~ 6

Author(s):

J.W. Modestino ◽

J. Zhang

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Image Interpretation ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

Markov Random

Download Full-text

A new nonhomogeneous Markov random field model based on fuzzy membership for brain MRI segmentation

10.1117/12.832160 ◽

2009 ◽

Cited By ~ 1

Author(s):

Rong Xu ◽

Limin Luo

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Brain Mri ◽

Fuzzy Membership ◽

Mri Segmentation ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

Markov Random

Download Full-text

Advanced Markov random field model based on local uncertainty for unsupervised change detection

Remote Sensing Letters ◽

10.1080/2150704x.2015.1054045 ◽

2015 ◽

Vol 6 (9) ◽

pp. 667-676 ◽

Cited By ~ 8

Author(s):

Pengfei He ◽

Wenzhong Shi ◽

Zelang Miao ◽

Hua Zhang ◽

Liping Cai

Keyword(s):

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Field Model ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

Markov Random ◽

Local Uncertainty

Download Full-text

Analysis of Probabilistic Graphocal Model Based on Markov Random Field and Conditional Probability

2020 International Conference on Social and Human Sciences (ICSHS2020) ◽

10.38007/proceedings.0000027 ◽

2020 ◽

Keyword(s):

Random Field ◽

Conditional Probability ◽

Markov Random Field ◽

Model Based ◽

Markov Random

Download Full-text