Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
David Sontag, Talya Meltzer, Amir Globerson, Tommi...
Operating modern digital environments, as computer software and digital instruments require users to master a large variety of cognitive, motor, sociological, and emotional skills...
The application of 3D visualization technologies to cultural heritage has deeply evolved along years, shifting from the role of an ancillary technical solution to the dignity of a...
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...