Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Abstract: This work studies a new Expectation-Maximization (EM) algorithm for solving the 2D-3D registration problem, which consists of estimating the position and orientation of a camera using a 3D ...