Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...

In 3D human pose estimation, mainstream methods predominantly utilize heatmap-based models. However, these models are plagued by high computational costs and quantization issues. This study proposes a ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Abstract: Variable Subset Forecasting (VSF) presents a critical challenge where variable availability fluctuates between the training and inference stages. This paper introduces a novel solution to ...

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 ...