IEEE

TERM Model: Tensor Ring Mixture Model for Density Estimation

Abstract: Probabilistic modeling is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concerns encountered in neural ...
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

Motor Neuron Loss Detection Based on EMG Probability Density Function Shape Descriptors

Abstract: EMG interference pattern analysis is routinely used in the assessment of motor neuron loss. We propose systematizing interference pattern analysis by recording an isometric ramp contraction ...
Frontiers

Improving aerial target detection for 3D radar based on a two-stage CFAR method with adaptive clutter distribution estimation

1 Radar Center, Viettel High Technology Industries Corporation, Hanoi, Vietnam 2 Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology, Hanoi, Vietnam This study ...