{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T17:46:01Z","timestamp":1779299161254,"version":"3.51.4"},"reference-count":36,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1109\/cvpr.2015.7298755","type":"proceedings-article","created":{"date-parts":[[2015,10,15]],"date-time":"2015-10-15T22:42:06Z","timestamp":1444948926000},"page":"1483-1491","source":"Crossref","is-referenced-by-count":17,"title":["Semi-supervised low-rank mapping learning for multi-label classification"],"prefix":"10.1109","author":[{"family":"Liping Jing","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Liu Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Jian Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael K.","family":"Ng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"ref32","first-page":"1601","article-title":"Self-tuning spectral clustering","author":"zelnik","year":"2004","journal-title":"Proc of NIPS"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2007.00591.x"},{"key":"ref30","first-page":"17","article-title":"Large-scale multi-label learning with missing labels","author":"yu","year":"2014","journal-title":"Proc of ICML"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1214\/08-AOAS198"},{"key":"ref35","article-title":"Learning with local and global consistency","author":"zhou","year":"2003","journal-title":"Proc of NIPS"},{"key":"ref34","first-page":"873","article-title":"Multi-label output codes using canonical correlation analysis","author":"zhang","year":"2011","journal-title":"Proc of AISTATS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5285-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-0463-6"},{"key":"ref12","first-page":"195","article-title":"Collective multilabel classification","author":"ghamrawi","year":"2005","journal-title":"Proc of CIKM"},{"key":"ref13","first-page":"423","article-title":"Large scale max-margin multi-label classification with priors","author":"hariharan","year":"2010","journal-title":"Proc of ICML"},{"key":"ref14","article-title":"Multi-label prediction via compressed sensing","author":"hsu","year":"2009","journal-title":"Proc of NIPS"},{"key":"ref15","article-title":"Multi-label learning by exploiting label correlations locally","author":"huang","year":"0","journal-title":"Proc of AAAI 2012"},{"key":"ref16","article-title":"Active learning with multi-label svm classification","author":"li","year":"0","journal-title":"Proc of IJCAI 2013"},{"key":"ref17","article-title":"The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices","author":"lin","year":"2009","journal-title":"Technical Report UIUC Technical Report UILU-ENG-09-2215"},{"key":"ref18","article-title":"Multi-label classification via feature-aware implicit label space encoding","author":"lin","year":"0","journal-title":"Proc of ICML 2014"},{"key":"ref19","first-page":"612","article-title":"Linearized alternating direction method with adaptive penalty for low-rank representation","author":"lin","year":"2011","journal-title":"Proc of NIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.164"},{"key":"ref4","first-page":"1","article-title":"Label embedding trees for large multi-class tasks","author":"bengio","year":"2010","journal-title":"Proc of NIPS"},{"key":"ref27","article-title":"Multi-label classification with principle label space transformation","author":"tai","year":"0","journal-title":"Proc of ICML 2010"},{"key":"ref3","first-page":"2399","article-title":"Manifold regularization: a geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"Journal of Machine Learning and Research"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","article-title":"Graph regularized non-negative matrix factorization for data representation","volume":"33","author":"cai","year":"2011","journal-title":"IEEE Trans on Pattern Analysis and Machine Intelligence"},{"key":"ref29","article-title":"Active learning for sparse bayesian multi-label classification","author":"vasisht","year":"0","journal-title":"Proc of SIGKDD 2014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2343234"},{"key":"ref8","article-title":"Feature-aware label space dimension reduction for multi-label classification","author":"chen","year":"2012","journal-title":"Proc of NIPS"},{"key":"ref7","first-page":"569","article-title":"A singular value thresholding algorithm for matrix completion","volume":"2","author":"cai","year":"2009","journal-title":"SIAM J Optimization"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5040-8"},{"key":"ref9","first-page":"279","article-title":"Bayes optimal multilabel classification via probabilistic classifier chains","author":"dembczynski","year":"2010","journal-title":"Proc of ICML"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.111"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0695-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1137\/100807697"},{"key":"ref24","first-page":"774","article-title":"Learning hierarchical multi-category text classifcation models","author":"rousu","year":"2005","journal-title":"Proc of ICML"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/120891009"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401971"},{"key":"ref25","first-page":"1329","article-title":"Maximum-margin matrix factorization","author":"srebro","year":"2004","journal-title":"Proc of NIPS"}],"event":{"name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","location":"Boston, MA, USA","start":{"date-parts":[[2015,6,7]]},"end":{"date-parts":[[2015,6,12]]}},"container-title":["2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7293313\/7298593\/07298755.pdf?arnumber=7298755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T21:24:38Z","timestamp":1498253078000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7298755\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/cvpr.2015.7298755","relation":{},"subject":[],"published":{"date-parts":[[2015,6]]}}}