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.)

Gaussian Mixture Model for Clustering

SON-EM - Algorithm for parameter estimation of hybrid time-varying parameter systems using Sum of Norms regularization and Expectation Maximization

matlab code for exponential family harmoniums, RBMs, DBNs, and relata

Bayesian operational modal analysis based on the expectation-maximization algorithm.

A new take on EEG sleep spindles detection exploiting a generative model (dynamic bayesian network) to characterize reoccurring dynamical regimes of single-channel EEG.

EM learning for a mixture of K multivariate Bernoullis with binary images

Training a hidden Markov model through expectation-maximization, using Baum-Welch formulae, for applications in speech recognition

Matlab code with examples of algorithms I'm learning/testing

An Implementation of Markov Switching Models for Weather Derivative Pricing

Finding homogenous regions in the Salinas hyperspectral image

Package in Matlab for generating Synthatic Data using GMM and EM Clustering on that

Using Statistical Learning Method to Segment Image

The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).

Implementation of EM algorithm for the Gaussian mixture model.

MATLAB codes for paper: Tractable Maximum Likelihood Estimation for Latent Structure Influence Models with Applications to EEG & ECoG processing

Fast Expectation Maximization (EM) algorithm for weighted samples in MATLAB

Inference in Gaussian models with missing data using Equalisation Maximisation