A joint demand modeling framework for ride-sourcing and dynamic ridesharing services: a geo-additive Markov random field based heterogeneous copula framework by Wali, Behram, Santi, Paolo, Ratti, Carlo

“…To achieve these objectives, unique geo-coded data containing millions of ride-sourcing and DRS trips in Chicago are spatially joined with up-to-date data on the built environment, transit accessibility, crime, active travel, and demographic factors. A novel Markov Random Field-based joint heterogeneous geo-additive copula framework is presented to simultaneously capture random, systematic, and spatial heterogeneity. …”
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A Minimal-Cost Inherent-Feedback Approach for Low-Power MRF-Based Logic Gates by S. M. Razavi, S. M. Razavi

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Level set incorporated with an improved MRF model for unsupervised change detection for satellite images by Xiaokang Zhang, Wenzhong Shi, Ming Hao, Pan Shao, Xuzhe Lyu

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Point Cloud Repair Method via Convex Set Theory by Tianzhen Dong, Yi Zhang, Mengying Li, Yuntao Bai

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Protein-Protein Interaction Prediction via Graph Signal Processing by Stefania Colonnese, Manuela Petti, Lorenzo Farina, Gaetano Scarano, Francesca Cuomo

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Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates by Ahmed Gdoura, Markus Degünther, Birgit Lorenz, Alexander Effland

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Mixture Segmentation of Multispectral MR Brain Images for Multiple Sclerosis by Lihong Li, Xinzhou Wei, Xiang Li, Syed Rizvi, Zhengrong Liang

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Texture segmentation based on wavelet-double Markov random fields(基于小波-双马尔可夫随机场的纹理分割) by LIUGuo-dong(刘国栋), YEMao-dong(叶懋冬)

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A DYNAMIC FEATURE SELECTION METHOD FOR DOCUMENT RANKING WITH RELEVANCE FEEDBACK APPROACH by K. Latha, B.Bhargavi, C. Dharani, R. Rajaram

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Simultaneous Color Restoration and Depth Estimation in Light Field Imaging by Yongwei Li, Filiberto Pla, Marten Sjostrom, Ruben Fernandez-Beltran

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Systematic image‐driven analysis of the spatial Drosophila embryonic expression landscape by Erwin Frise, Ann S Hammonds, Susan E Celniker

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Ant Colony Clustering Algorithm and Improved Markov Random Fusion Algorithm in Image Segmentation of Brain Images by Guohua Zou

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Seasonal Land Cover Dynamics in Beijing Derived from Landsat 8 Data Using a Spatio-Temporal Contextual Approach by Jie Wang, Congcong Li, Luanyun Hu, Yuanyuan Zhao, Huabing Huang, Peng Gong

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Simple Assumptions to Improve Markov Illuminance and Reflectance by Yuki Kobayashi, Yuki Kobayashi, Akiyoshi Kitaoka

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A Proposed Alzheimer's Disease Diagnosing System Based on Clustering and Segmentation Techniques by Sarah Mohammed

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Learning object segmentation from video data by Ross, Michael G., Kaelbling, Leslie Pack

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Learning object segmentation from video data by Ross, Michael G., Kaelbling, Leslie Pack

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HMRFS–TP: long-term daily gap-free snow cover products over the Tibetan Plateau from 2002 to 2021 based on hidden Markov random field model by Y. Huang, Y. Huang, J. Xu, J. Xu, J. Xu, J. Xu, Y. Zhao, Y. Zhao, B. Yu, B. Yu, H. Liu, S. Wang, W. Xu, W. Xu, J. Wu, J. Wu, Z. Zheng

“…Here we generate long-term daily gap-free snow cover products over the Tibetan Plateau at 500 m resolution by applying a hidden Markov random field (HMRF) technique to the original MODIS snow products over the past two decades. …”
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Image analysis, random fields, and dynamic Monte Carlo methods : a mathematical introduction / by 230754 Winkler, Gerhard

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Image analysis, random fields and markov chain Monte Carlo methods : a mathematical introduction / by Winkler, Gerhard, 1946-

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