{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/map-inference-via-block-coordinate-frank","title":"MAP inference via Block-Coordinate Frank-Wolfe Algorithm","arxiv_id":"1806.05049","date":"2018-06-13","proceeding":"CVPR 2019 6","authors":["Paul Swoboda","Vladimir Kolmogorov"],"abstract":"We present a new proximal bundle method for Maximum-A-Posteriori (MAP)\ninference in structured energy minimization problems. The method optimizes a\nLagrangean relaxation of the original energy minimization problem using a multi\nplane block-coordinate Frank-Wolfe method that takes advantage of the specific\nstructure of the Lagrangean decomposition. We show empirically that our method\noutperforms state-of-the-art Lagrangean decomposition based algorithms on some\nchallenging Markov Random Field, multi-label discrete tomography and graph\nmatching problems.","url_abs":"http://arxiv.org/abs/1806.05049v2","url_pdf":"http://arxiv.org/pdf/1806.05049v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"map-inference-via-block-coordinate-frank","repo_url":"https://github.com/LPMP/LPMP","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"map-inference-via-block-coordinate-frank","repo_url":"https://github.com/MindSpore-scientific-2/code-12/tree/main/Frank-Wolfe-Algorithm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"graph-matching","task_name":"Graph Matching"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1806.05049","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}