{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:16:43Z","timestamp":1740133003267,"version":"3.37.3"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2015,10,1]],"date-time":"2015-10-01T00:00:00Z","timestamp":1443657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472353"],"award-info":[{"award-number":["61472353"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","award":["2012CB316400"],"award-info":[{"award-number":["2012CB316400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"US National Science Foundation","award":["CCF-1017828"],"award-info":[{"award-number":["CCF-1017828"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2015,10,1]]},"DOI":"10.1109\/tkde.2015.2426707","type":"journal-article","created":{"date-parts":[[2015,4,27]],"date-time":"2015-04-27T14:33:44Z","timestamp":1430145224000},"page":"2756-2769","source":"Crossref","is-referenced-by-count":7,"title":["Joint Structural Learning to Rank with Deep Linear Feature Learning"],"prefix":"10.1109","volume":"27","author":[{"given":"Xueyi","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongfei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref38","first-page":"281","article-title":"Map-reduce for machine learning on multicore","volume":"6","author":"chu","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277809"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401906"},{"key":"ref31","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":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277790"},{"key":"ref37","first-page":"864","article-title":"Simultaneously combining multi-view multi-label learning with maximum margin classification","author":"fang","year":"0","journal-title":"Proc Int Conf Data Mining"},{"key":"ref36","first-page":"2333","article-title":"Learning deep structured semantic models for web search using clickthrough data","author":"huang","year":"0","journal-title":"Proc Int Conf Inf Knowl Manage"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390306"},{"key":"ref34","first-page":"775","article-title":"Metric learning to rank","author":"mcfee","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"ref27","first-page":"933","article-title":"An efficient boosting algorithm for combining preferences","volume":"4","author":"freund","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148205"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-015-0081-4"},{"key":"ref1","first-page":"1592","article-title":"A-optimal non-negative projection for image representation","author":"liu","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.281"},{"key":"ref22","first-page":"25","article-title":"The TREC-9 filtering track final report","author":"robertson","year":"0","journal-title":"The Text REtrieval Conf"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.10.2756"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/383952.383970"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2240136.2240141"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"ref10","first-page":"2841","article-title":"Non-negative matrix factorization as a feature selection tool for maximum margin classifiers","author":"gupta","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref11","first-page":"2609","article-title":"Geometric lp-norm feature pooling for image classification","author":"feng","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref40","article-title":"Deeply-supervised nets","author":"lee","year":"0","journal-title":"arXiv preprint arXiv 1409 5185"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396329"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502112"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396305"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.42"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.45"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.258"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.51"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-009-9117-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.252"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2183645"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.78"},{"key":"ref5","first-page":"1","article-title":"EMR: A scalable graph-based ranking model for content-based image retrieval","volume":"6","author":"xu","year":"2007","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396294"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_30"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609502"},{"key":"ref9","first-page":"4","article-title":"Imagenet classification with deep convolutional neural networks.","volume":"1","author":"krizhevsky","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-010-0420-4"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5108-8"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995393"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.217"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539957"},{"key":"ref44","first-page":"615","article-title":"An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems","volume":"6","author":"toh","year":"2010","journal-title":"Pacific J Optimization"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/7247809\/07095607.pdf?arnumber=7095607","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:46:39Z","timestamp":1641987999000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7095607\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,1]]},"references-count":49,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2015.2426707","relation":{},"ISSN":["1041-4347"],"issn-type":[{"type":"print","value":"1041-4347"}],"subject":[],"published":{"date-parts":[[2015,10,1]]}}}