Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Abstract. A fundamental problem with a large class of image registration techniques is that the estimated transformation from image A to B does not equal the inverse of the estimat...
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...
We provide a reconstruction of Blum and Furst’s Graphplan algorithm, and use the reconstruction to extend and improve the original algorithm in several ways. In our reconstructi...