Efficiently solving convex relaxations for MAP estimation

Efficiently solving convex relaxations for MAP estimation

<p>The problem of obtaining the maximum <em>a posteriori</em> (MAP) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build on the tree reweighted message passing (TRW) framework of (Kolmogorov, 20...

書目詳細資料
Main Authors:	Kumar, MP, Torr, PHS
格式:	Conference item
語言:	English
出版:	Association for Computing Machinery 2008

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