Abstract: Current versions of finite mixture models with underlying Beta distributions have the problem that the data y have to be contained strictly between 0 and 1. We resolve that problem by using ...

Abstract: In this letter, we propose a convolutional dictionary iterative model for pansharpening with a mixture of experts. First, we define an observation model to model the common and unique ...

According to God of Prompt, the Mixture of Experts (MoE) architecture revolutionizes AI model scaling by training hundreds of specialized expert models instead of relying on a single monolithic ...

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 ...