{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:25:31Z","timestamp":1761060331342,"version":"3.37.3"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1109\/tnnls.2017.2690453","type":"journal-article","created":{"date-parts":[[2017,4,13]],"date-time":"2017-04-13T18:24:04Z","timestamp":1492107844000},"page":"2631-2637","source":"Crossref","is-referenced-by-count":19,"title":["Structured Learning of Tree Potentials in CRF for Image Segmentation"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6649-7660","authenticated-orcid":false,"given":"Fayao","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0329-7458","authenticated-orcid":false,"given":"Guosheng","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Ruizhi","family":"Qiao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8648-8718","authenticated-orcid":false,"given":"Chunhua","family":"Shen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299025"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"journal-title":"Structured learning of tree potentials in crf for image segmentation","year":"2017","author":"liu","key":"ref30"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015337"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2315792"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126429"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012470815092"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150429"},{"key":"ref15","first-page":"1","article-title":"Efficient exact inference with loss augmented objective in structured learning","volume":"pp","author":"bauer","year":"2016","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref16","first-page":"594","article-title":"Quickly boosting decision trees—Pruning underachieving features early","author":"appel","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247721"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.10.001"},{"key":"ref19","first-page":"1","article-title":"Accurate object localization with shape masks","author":"marszalek","year":"2007","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540098"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459175"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539868"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587503"},{"key":"ref6","first-page":"1","article-title":"Mixtures of conditional random fields for improved structured output prediction","volume":"pp","author":"kim","year":"2016","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_15"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_29"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401985"},{"key":"ref7","first-page":"1453","article-title":"Large margin methods for structured and interdependent output variables","volume":"6","author":"tsochantaridis","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88688-4_43"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995597"},{"key":"ref1","first-page":"282","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"lafferty","year":"2001","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540048"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459248"},{"key":"ref24","first-page":"921","article-title":"The importance of encoding versus training with sparse coding and vector quantization","author":"coates","year":"2011","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.259"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/11744085_45"},{"key":"ref25","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8360119\/07898804.pdf?arnumber=7898804","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:22:33Z","timestamp":1642004553000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7898804\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":34,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2017.2690453","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2018,6]]}}}