MCMC algorithm based on Markov random field in image segmentation. [PDF]
PLoS ONEIn the realm of digital image applications, image processing technology occupies a pivotal position, with image segmentation serving as a foundational component.
Huazhe Wang, Li Ma
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Constructing tissue-specific transcriptional regulatory networks via a Markov random field [PDF]
BMC Genomics, 2018 Background Recent advances in sequencing technologies have enabled parallel assays of chromatin accessibility and gene expression for major human cell lines.
Shining Ma, Tao Jiang, Rui Jiang
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MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior [PDF]
Sensors, 2020 Reconstruction of magnetic resonance images (MRI) benefits from incorporating a priori knowledge about statistical dependencies among the representation coefficients.
Marko Panić +4 more
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A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data [PDF]
BMC Bioinformatics, 2021 Background Recent development of single cell sequencing technologies has made it possible to identify genes with different expression (DE) levels at the cell type level between different groups of samples.
Hongyu Li +5 more
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On Functions of Markov Random Fields [PDF]
2020 IEEE Information Theory Workshop (ITW), 2021 7 pages, submitted to IEEE Information Theory ...
Bernhard C. Geiger, Ali Al-Bashabsheh
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Uncertainty Quantification for Markov Random Fields [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2021 We present an information-based uncertainty quantification method for general Markov Random Fields. Markov Random Fields (MRF) are structured, probabilistic graphical models over undirected graphs, and provide a fundamental unifying modeling tool for statistical mechanics, probabilistic machine learning, and artificial intelligence.
Panagiota Birmpa, Markos A. Katsoulakis
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SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGERY USING OBJECT-BASED MARKOV RANDOM FIELD BASED ON HIERARCHICAL SEGMENTATION TREE WITH AUXILIARY LABELS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In the remote sensing imagery, spectral and texture features are always complex due to different landscapes, which leads to misclassifications in the results of semantic segmentation. The object-based Markov random field provides an effective solution to
L. He, Z. Wu, Y. Zhang, Z. Hu
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Light Pollution Index System Model Based on Markov Random Field
Mathematics, 2023 Light pollution is one of the environmental pollution problems facing the world. The research on the measurement standard of light pollution is not perfect at present.
Liangkun Fang +3 more
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Random Fields in Physics, Biology and Data Science
Frontiers in Physics, 2021 A random field is the representation of the joint probability distribution for a set of random variables. Markov fields, in particular, have a long standing tradition as the theoretical foundation of many applications in statistical physics and ...
Enrique Hernández-Lemus +1 more
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Lane Line Identification and Research Based on Markov Random Field
World Electric Vehicle Journal, 2022 In view of the poor robustness and low accuracy in lane line identification based on digital image processing, this paper proposes a Markov random field intelligent algorithm based on machine learning to identify lane lines.
Fang Ding, Aiguo Wang, Qianbin Zhang
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