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 ...

A step-by-step description of putting together a lineup to win the first prize in the NFFC Hold 'Em Postseason contest. The fantasy football season is over, which means we need a playoff contest to ...

Victor Dergunov, leader of The Financial Prophet, reveals his exact step-by-step process for using Seeking Alpha Premium to identify massive upside in stocks like AMD. Watch as he demonstrates his ...