Stable Marriage Problem / Korea University / University of California / /
IndustryTerm
energy potentials / local search techniques / energy function / least energy / web home page / energy-based learning / moment matching algorithm / energy involving unary / minimum energy configuration / pen tool / perturbed energy function / lattice systems / continuous energy potentials / approximate energy minimization / energy configuration / energy minimization routine / singular solutions / graph cut solutions / energy parameters / Recent powerful discrete energy minimization algorithms / faster deterministic energy minimization techniques / energy minimization approaches / perturbed energy / least energy configuration / cross-validation protocol / deterministic energy / random sampling algorithms / perturbed energy functions / computer vision applications / iterative algorithms / energy minimization problem / energy functions / energy minimization algorithms / energy / approximate random sampling algorithm / /
Organization
Korean Ministry of Education / MIT / Cambridge Univ. / University of California / Los Angeles / U.S. Office / Energy Models George Papandreou1 and Alan L. Yuille1 / 2 Department of Statistics / U.S. Securities and Exchange Commission / Department of Brain and Cognitive Engineering / Princeton Univ. / Korea University / Seoul / /
Person
C. Rother / V / F. Steutel / K. Van Harn / /
Position
Statistician / proposed model for practical computer vision applications / Prime Minister / walker / first author / Ising model considered / /
Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models George Papandreou1 and Alan L. Yuille1,2 Department of Statistics, University of California, Los Angeles 2 Department of B