A simple machine learning library.

Log-Linearized Gaussian Mixture Network

Expectation Maximisation for a Gaussian Mixture Model Implemetation of the expectation maximisation algorithm for Gaussian Mixture Models in C++

Sampling Clear Sky Models using Truncated Gaussian Mixtures

Implementation of "GrabCut": interactive foreground extraction using iterated graph cuts", in MATLAB

machine learning method implemention

C++ library handling Gaussian Mixure Models

Machine learning library for fast and efficient Gaussian mixture models

Fast Incremental Gaussian Mixture Networks

This repository contains my code for modelling diffusion of water molecules inside the brain. The project involved implementing Spherical Mean Technique to estimate per-voxel diffusion coefficient from diffusion MRI data (High Angular Resolution Diffusion Imaging).

A LibreOffice Calc extension that clusters the rows in a table and colors them to indicate the clusters.

ITK based implementation of the robust point set registration algorithms

A class for unsupervised classification using Expectation Maximization

C++ implementation of GMM based LPV systems

Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

A lightweight particle filter library for the ROS context.

Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance

Biomechanically Constrained Point Cloud Registration Using Gaussian Mixture Models