GPstuff - Gaussian process models for Bayesian analysis
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Updated
Dec 30, 2022 - MATLAB
GPstuff - Gaussian process models for Bayesian analysis
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
Matlab interface to Stan, a package for Bayesian inference
Bayesian Data Analysis demos for Matlab/Octave
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.)
Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches
A Matlab toolbox for sampling inverse problems with complex priors
[Signal Processing 2020] Official implementation for "Bayesian Fusion for Infrared and Visible Images"
Bayesian Statistics Guide
An efficient and robust probabilistic approach for fitting superellipse to point clouds.
A machine learning algorithm that estimates the directions of arrival and relative levels of an arbitrary number of sound sources using recorded data from a 16-channel spherical microphone array.
Code for 'Relational Deep Learning: A Deep Latent Variable Model for Link Prediction' - AAAI
A MAP-MRF Framework for Image Denoising
Normal Influence Diagram Matlab Code for Kalman Filtering
Bayasian Sequential Simulation (BSS)
[TPAMI 2024] Multidimensional Ellipsoid Fitting
Bayesian Orthogonal Matching Pursuit (Bernoulli-Gaussian)
TrueSkill extension accommodating score-based match outcomes and home field advantage
MATLAB code to calculate a new version of the Signed Rank Test for comparing two classifiers on multiple datasets, as explained in a paper by Benavoli et al. (2017). The code is adapted from the python library baycomp.
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