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 ...
eLife

A dynamic scale-mixture model of motion in natural scenes

Some of the most important tasks of visual and motor systems involve estimating the motion of objects and tracking them over time. Such systems evolved to meet the behavioral needs of the organism in ...
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

Fault diagnosis method for HVAC sensors based on improved 1-D CNN model and wavelet clustering analysis

Introduction: Heating, Ventilation and Air Conditioning (HVAC) sensor fault diagnosis is essential for ensuring the reliability and energy efficiency of intelligent building systems. However, existing ...
Scientific Research Publishing

Fraley, C. and Raftery, A.E. (2002) Model-Based Clustering, Discriminant Analysis, and Density Estimation. Journal of the American Statistical Association, 97, 611-631.

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...
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.
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 ...
IEEE

A Gaussian Mixture Model-based clustering algorithm for image segmentation using dependable spatial constraints

Abstract: In this paper, a Gaussian Mixture Model-based clustering algorithm using dependable spatial constraints is proposed for image segmentation. In order to enhance the segmentation performance, ...