{"publication_status":"published","date_published":"2019-06-01T00:00:00Z","abstract":[{"lang":"eng","text":"We present a new proximal bundle method for Maximum-A-Posteriori (MAP) inference in structured energy minimization problems. The method optimizes a Lagrangean relaxation of the original energy minimization problem using a multi plane block-coordinate Frank-Wolfe method that takes advantage of the specific structure of the Lagrangean decomposition. We show empirically that our method outperforms state-of-the-art Lagrangean decomposition based algorithms on some challenging Markov Random Field, multi-label discrete tomography and graph matching problems."}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1806.05049"}],"department":[{"_id":"VlKo"}],"day":"01","type":"conference","date_updated":"2023-09-07T14:54:24Z","article_processing_charge":"No","month":"06","status":"public","title":"Map inference via block-coordinate Frank-Wolfe algorithm","quality_controlled":"1","date_created":"2020-02-09T23:00:52Z","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","oa":1,"oa_version":"Preprint","scopus_import":"1","publisher":"IEEE","ec_funded":1,"citation":{"ieee":"P. Swoboda and V. Kolmogorov, “Map inference via block-coordinate Frank-Wolfe algorithm,” in <i>Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i>, Long Beach, CA, United States, 2019, vol. 2019–June.","mla":"Swoboda, Paul, and Vladimir Kolmogorov. “Map Inference via Block-Coordinate Frank-Wolfe Algorithm.” <i>Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i>, vol. 2019–June, 11138–11147, IEEE, 2019, doi:<a href=\"https://doi.org/10.1109/CVPR.2019.01140\">10.1109/CVPR.2019.01140</a>.","short":"P. Swoboda, V. Kolmogorov, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2019.","ama":"Swoboda P, Kolmogorov V. Map inference via block-coordinate Frank-Wolfe algorithm. In: <i>Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i>. Vol 2019-June. IEEE; 2019. doi:<a href=\"https://doi.org/10.1109/CVPR.2019.01140\">10.1109/CVPR.2019.01140</a>","apa":"Swoboda, P., &#38; Kolmogorov, V. (2019). Map inference via block-coordinate Frank-Wolfe algorithm. In <i>Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i> (Vol. 2019–June). Long Beach, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/CVPR.2019.01140\">https://doi.org/10.1109/CVPR.2019.01140</a>","chicago":"Swoboda, Paul, and Vladimir Kolmogorov. “Map Inference via Block-Coordinate Frank-Wolfe Algorithm.” In <i>Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition</i>, Vol. 2019–June. IEEE, 2019. <a href=\"https://doi.org/10.1109/CVPR.2019.01140\">https://doi.org/10.1109/CVPR.2019.01140</a>.","ista":"Swoboda P, Kolmogorov V. 2019. Map inference via block-coordinate Frank-Wolfe algorithm. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition vol. 2019–June, 11138–11147."},"conference":{"start_date":"2019-06-15","name":"CVPR: Conference on Computer Vision and Pattern Recognition","end_date":"2019-06-20","location":"Long Beach, CA, United States"},"language":[{"iso":"eng"}],"article_number":"11138-11147","_id":"7468","doi":"10.1109/CVPR.2019.01140","author":[{"first_name":"Paul","last_name":"Swoboda","full_name":"Swoboda, Paul","id":"446560C6-F248-11E8-B48F-1D18A9856A87"},{"id":"3D50B0BA-F248-11E8-B48F-1D18A9856A87","full_name":"Kolmogorov, Vladimir","first_name":"Vladimir","last_name":"Kolmogorov"}],"publication":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition","publication_identifier":{"issn":["10636919"],"isbn":["9781728132938"]},"external_id":{"arxiv":["1806.05049"],"isi":["000542649304076"]},"isi":1,"project":[{"_id":"25FBA906-B435-11E9-9278-68D0E5697425","name":"Discrete Optimization in Computer Vision: Theory and Practice","grant_number":"616160","call_identifier":"FP7"}],"volume":"2019-June","year":"2019"}