IEEE

A Novel Robust Gaussian Approximate Smoother Based on EM for Cooperative Localization With Sensor Fault and Outliers

Abstract: In this article, a novel robust Gaussian approximation smoother based on expectation–maximization (EM) algorithm is proposed for cooperative localization (CL) with faulty Doppler velocity ...
Scientific Research Publishing

Research on an Intelligent Algorithm for the Restoration of Fractured Aero Engine Wheel Disks ()

School of Power and Energy, Nanchang Hangkong University, Nanchang, China. China’s aviation industry, particularly its civil aviation sector, is undergoing rapid development, with the fleet of civil ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
IEEE

A Flexible EM-Like Clustering Algorithm for Noisy Data

Abstract: Though very popular, it is well known that the Expectation-Maximisation (EM) algorithm for the Gaussian mixture model performs poorly for non-Gaussian distributions or in the presence of ...
Visual Studio Magazine

Gaussian Mixture Model Data Clustering from Scratch Using C#

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.
GitHub

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022)

This repository is the official PyTorch implementation of BSRDM with application to blind image super-resolution (arXiv). While researches on model-based blind single image super-resolution (SISR) ...