{"language":[{"iso":"eng"}],"date_published":"2012-05-29T00:00:00Z","date_created":"2018-12-11T12:00:23Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"external_id":{"arxiv":["1205.6352"]},"publication_status":"published","author":[{"id":"3D50B0BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kolmogorov","full_name":"Kolmogorov, Vladimir","first_name":"Vladimir"},{"last_name":"Schoenemann","first_name":"Thomas","full_name":"Schoenemann, Thomas"}],"day":"29","article_processing_charge":"No","publisher":"ArXiv","title":"Generalized sequential tree-reweighted message passing","abstract":[{"lang":"eng","text":" This paper addresses the problem of approximate MAP-MRF inference in general graphical models. Following [36], we consider a family of linear programming relaxations of the problem where each relaxation is specified by a set of nested pairs of factors for which the marginalization constraint needs to be enforced. We develop a generalization of the TRW-S algorithm [9] for this problem, where we use a decomposition into junction chains, monotonic w.r.t. some ordering on the nodes. This generalizes the monotonic chains in [9] in a natural way. We also show how to deal with nested factors in an efficient way. Experiments show an improvement over min-sum diffusion, MPLP and subgradient ascent algorithms on a number of computer vision and natural language processing problems. "}],"_id":"2928","date_updated":"2021-01-12T07:00:45Z","type":"preprint","publist_id":"3809","department":[{"_id":"VlKo"}],"status":"public","month":"05","year":"2012","publication":"arXiv","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1205.6352"}],"citation":{"apa":"Kolmogorov, V., & Schoenemann, T. (2012). Generalized sequential tree-reweighted message passing. arXiv. ArXiv.","short":"V. Kolmogorov, T. Schoenemann, ArXiv (2012).","chicago":"Kolmogorov, Vladimir, and Thomas Schoenemann. “Generalized Sequential Tree-Reweighted Message Passing.” ArXiv. ArXiv, 2012.","ieee":"V. Kolmogorov and T. Schoenemann, “Generalized sequential tree-reweighted message passing,” arXiv. ArXiv, 2012.","mla":"Kolmogorov, Vladimir, and Thomas Schoenemann. “Generalized Sequential Tree-Reweighted Message Passing.” ArXiv, ArXiv, 2012.","ama":"Kolmogorov V, Schoenemann T. Generalized sequential tree-reweighted message passing. arXiv. 2012.","ista":"Kolmogorov V, Schoenemann T. 2012. Generalized sequential tree-reweighted message passing. arXiv, ."},"page":"16","oa_version":"Preprint"}