Computer Science National University of Singapore Yee-Whye Teh Gatsby Computational Neuroscience Unit University College / /
IndustryTerm
generalized belief propagation algorithms / graph-cut algorithms / free-energy approximations / generated networks / Energy minimization / search range / belief propagation algorithms / web person disambiguation task / sum-product algorithm / average energy difference / max-product algorithms / max-product algorithm / lower energy configurations / sum product algorithm / energy functions / energy / sum-product algorithms / energy function / sum-product based algorithms / max-product belief-propagation algorithm / graph cut algorithms / inference algorithms / greedy algorithm / brute force search / local search algorithms / web person disambigation / sum-product / low-energy configurations / search query / asynchronous belief propagation algorithm / approximate inference algorithms / energy minimization problem / attractive network / /
Organization
University College London / National University of Singapore / Singapore MIT Alliance / Computer Science National University / Pattern Analysis and Machine Intelligence / /
Person
Wee Sun / Tomas Lozano-Perez / Hai Leong / Leslie Pack Kaelbling / Yee Fan Tan / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / IEEE Transactions on Information Theory / /
—PREPRINT— Cooled and Relaxed Survey Propagation for MRFs Hai Leong Chieu1,2 , Wee Sun Lee2 1