TL;DR该论文提出了一种基于 Riemannian 优化方法的高斯混合模型参数估计算法,与 EM 算法相比表现更优,同时给出了非渐近收敛分析的随机优化方法。
Abstract
We consider maximum likelihood estimation for gaussian mixture models (Gmms).
This task is almost invariably solved (in theory and practice) via the
expectation maximization (EM) algorithm. EM owes its success to