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 ...
GitHub

Depth–aware Particle/Bubble Tracking

Gaussian Mixture Model GMM (unsupervised): GMMs allow for soft-clustering, and have shown greater accuracy in image classification than hard-clustering methods [7]. COMPLETED Random Forest (supervised ...
Frontiers

Neurophysiological and cognitive enhancements in autonomous sensory meridian response identified using heart rate variability and electroencephalography connectivity

Introduction: Autonomous sensory meridian response (ASMR) is a sensory-emotional phenomenon characterized by tingling sensations and relaxation, typically elicited by auditory or visual stimuli.
Scientific Research Publishing

Multi-Task Gaussian Process for Imputing Missing Daily Rainfall Data Using Nearby Stations: Case of Burkina Faso ()

1 Ecole Polytechnique de Ouagadougou, Ouagadougou, Burkina Faso. 2 Agence National Meteorologie, Ouagadougou, Burkina Faso. Precipitation is a critical meteorological factor that significantly impacts ...
Frontiers

A novel adaptive Gaussian sum cubature Kalman filter with time-varying non-Gaussian noise for GNSS/SINS tightly coupled integrated navigation system

The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model (GMM) is a critical nonlinear non-Gaussian filter for data fusion of global navigation satellite system/strapdown ...
IEEE

Clustering and Predicting Smartphones Features using Gaussian Mixture Model Algorithm

Abstract: The Gaussian Mixture Model algorithm was used to identify common functionality and patterns from the Smartphone dataset, and address the overlap of clustered data in other clustering ...