Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...
Convex and continuous energy formulations for low level
vision problems enable efficient search procedures for the
corresponding globally optimal solutions. In this work we
exte...
Christopher Zach (UNC Chapel Hill), Marc Niethamme...
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
This paper unifies and extends several different existing strategies for deploying groups of robots in an environment. A cost function is proposed that can be specialized to rep...
Mac Schwager, Daniela Rus, Jean-Jacques E. Slotine