Search Results - "Markov random fields"

On Simple Mechanisms for Dependent Items.

Authors: Cai, Yang Oikonomou, Argyris

Source: Operations Research. Jul/Aug2025, Vol. 73 Issue 4, p1849-1875. 27p.

A scalable variational method for estimating the latent infection-rate field of an outbreak.

Authors: Bridgman, Wyatt H. Safta, Cosmin Ray, Jaideep

Source: PLoS ONE. 5/29/2026, Vol. 21 Issue 5, p1-35. 35p.

BIM-SeL: Building Information Modelling Data-Adaptive Natural-Language Sequence Labeling Using Machine Learning.

Authors: Qiu, Qi Zhou, Xiaoping Wang, Yukang et al.

Source: Buildings (2075-5309); May2026, Vol. 16 Issue 9, p1731, 24p

A Class of Causal 2D Markov-Switching ARMA Models: Probabilistic Properties and Variational Estimation.

Authors: Rashedi, Khudhayr A. Kharfouchi, Soumia Alenezy, Abdullah H. et al.

Source: Axioms (2075-1680). May2026, Vol. 15 Issue 5, p302. 31p.

Cues for a Grammar of Potentials in Markov Field Models of Computer Vision.

Authors: Burigana, Luigi¹

Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 8, p4030, 23p

Quantization of KLT matrices using a GMRF model for image blocks with application to adaptive transform coding.

Authors: Boragolla, Rashmi Yahampath, Pradeepa

Source: EURASIP Journal on Image & Video Processing. 1/8/2026, Vol. 2026 Issue 1, p1-28. 28p.

Subjects: Gaussian Markov random fields, Vector quantization, Signal quantization, Mathematical transformations, Image compression

LU-net: AMultiscale Probability Search Algorithm for Brain Tumor Segmentation.

Authors: Cheung, Yuyam Chow, Limeng Guo, Zhiming et al.

Source: Journal of Imaging Science & Technology; Mar/Apr2026, Vol. 70 Issue 2, p1-10, 10p

Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas.

Authors: Desuó Neto, Luiz de Oliveira Caetano, Henrique de Souza Sant'Anna Fogliatto, Matheus et al.

Source: Entropy. Mar2026, Vol. 28 Issue 3, p293. 30p.

Inference in Higher Order Undirected Graphical Models and Binary Polynomial Optimization.

Authors: Khajavirad, Aida Wang, Yakun

Source: INFORMS Journal on Computing; Jan/Feb2026, Vol. 38 Issue 1, p295-314, 20p

Spatially Clustered Compositional Regression: A Nonparametric Bayesian Approach.

Authors: Meng, Jingcheng Ren, Yimeng Zhu, Xuening et al.

Source: Journal of Computational & Graphical Statistics; Jan-Mar2026, Vol. 35 Issue 1, p51-62, 12p

Object based Markov random field model for hierarchical semantic segmentation of remote sensing imagery.

Authors: Wang, Jun Zheng, Chen Fu, Haoyu et al.

Source: International Journal of Digital Earth. Dec2025, Vol. 18 Issue 1, p1-44. 44p.

Gibbsian Description of Gaussian Random Fields.

Authors: Khachatryan, L. A.¹ linda@instmath.sci.am

Source: Armenian Journal of Mathematics. 2025, Vol. 17 Issue 13, p1-20. 20p.

Seasonal spatial distributions of amphibians and Gibbs measures: a new approach inspired by Hamiltonian mechanics.

Authors: Ballesteros, Miguel Iniesta, Diego Morales, Luis B. et al.

Source: Environmental & Ecological Statistics. Jun2026, Vol. 33 Issue 2, p699-735. 37p.

Subject Terms: *Hamiltonian mechanics, *Markov random fields, *Habitat selection, *Amphibians, *Population dynamics, *Spatial analysis (Statistics), *Dispersal (Ecology)

Clusterpath Gaussian Graphical Modeling.

Authors: Touw, D. J. W. Alfons, A. Groenen, P. J. F. et al.

Source: Journal of Computational & Graphical Statistics. Apr2026, p1-15. 15p. 8 Illustrations.

On a risk model with tree-structured Poisson Markov random field frequency, with application to rainfall events.

Authors: Cossette, Hélène Côté, Benjamin Dubeau, Alexandre et al.

Source: Astin Bulletin. May2026, Vol. 56 Issue 2, p317-343. 27p.

Dice and slice simulation optimization for high-dimensional discrete problems.

Authors: Avci, Harun Nelson, Barry L. Song, Eunhye et al.

Source: European Journal of Operational Research. May2026, Vol. 330 Issue 3, p850-863. 14p.

Approximations in the Homogeneous Ising Model with Application to Scene Analysis.

Authors: Sazo, Alejandro Murua Maitra, Ranjan

Source: Journal of Computational & Graphical Statistics. Apr-Jun2026, Vol. 35 Issue 2, p631-644. 14p.

Probabilistic Models for Two-Phase Materials.

Authors: Grigoriu, Mircea¹ (AUTHOR)

Source: Materials (1996-1944). Jul2025, Vol. 18 Issue 13, p3064. 19p.

Subjects: Composite materials, Gaussian Markov random fields, Centroidal Voronoi tessellations, Monte Carlo method, Voronoi polygons, Stochastic models, Poisson processes

Iterative Global Mapping-Local Searching for Heterogeneous Change Detection with Unregistered Images.

Authors: Sun, Yuli Wu, Junzheng Zhang, Han et al.

Source: International Journal of Computer Vision. Apr2026, Vol. 134 Issue 4, p1-22. 22p.

Subjects: Image registration, Markov random fields, Iterative methods (Mathematics), Remote sensing, Change-point problems

A retrieval model with contextual correlation analysis for verbose queries.

Authors: Podder, Dipannita Paik, Jiaul H. Mitra, Pabitra

Source: Journal of Intelligent Information Systems. Apr2026, Vol. 64 Issue 2, p469-496. 28p.

Subjects: Information retrieval, Markov random fields, Machine learning, Language models, Dependence (Statistics)