A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.
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Updated
Nov 29, 2025 - C++
A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.
OptimizeRasters is a set of tools for converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies.
Open-source MATLAB-based computational platform for modeling and analyzing steel frame buildings in OpenSEES.
ESS Site-specific EPICS module : mrfioc2
Dual decomposition based Markov-Random-Fields solvers.
Mohsenifar, A., Mohammadzadeh, A., Moghimi, A. and Salehi, B., 2021, A Novel Unsupervised Forest Change Detection Method Based on The Integration of a Multiresolution Singular Value Decomposition Fusion and an Edge-Aware Markov Random Field Algorithm. International Journal of Remote Sensing, doi:10.1080/01431161.2021.1995075.
A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)
An implementation of "Exact Maximum A Posteriori Estimation for Binary Images" (D. Greig, B. Porteous and A. Seheult)
Cosaliency Detection and Region-of-Interest Extraction via Manifold Ranking and MRF in Remote Sensing Images
Probabilistic Graphical Models final project
Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)
"supercycleEngine" is an EPICS IOC plugin for "mrfioc2" community release.
Learn a Factor Graph, or Markov Random Field (MRF), from data/observations. I.e. do PGM parameter learning.
An R package for analysis of Markov Random Fields on 2-dimensional lattices.
ESS Site-specific EPICS module : supercycleEngine.
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