{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T11:45:50Z","timestamp":1777117550234,"version":"3.51.4"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61906208"],"award-info":[{"award-number":["61906208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3053003","type":"journal-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T20:47:40Z","timestamp":1611175660000},"page":"51452-51463","source":"Crossref","is-referenced-by-count":7,"title":["Batch Mode Active Learning Based on Multi-Set Clustering"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1159-5682","authenticated-orcid":false,"given":"Yazhou","family":"Yang","sequence":"first","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6916-1919","authenticated-orcid":false,"given":"Xiaoqing","family":"Yin","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Lei","sequence":"additional","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2317-5121","authenticated-orcid":false,"given":"Weili","family":"Li","sequence":"additional","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6201-4457","authenticated-orcid":false,"given":"Zhe","family":"Shu","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143980"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015240"},{"key":"ref32","first-page":"45","article-title":"Support vector machine active learning with applications to text classification","volume":"2","author":"tong","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130417"},{"key":"ref30","first-page":"11","article-title":"Active learning literature survey","volume":"52","author":"settles","year":"2010","journal-title":"Univ of Wisconsin"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0781-x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.06.004"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2700408"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2923211"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2496974"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00878"},{"key":"ref11","first-page":"524","article-title":"A Bayesian hierarchical model for learning natural scene categories","author":"li","year":"2005","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit (CVPR05)"},{"key":"ref12","first-page":"562","article-title":"Selecting influential examples: Active learning with expected model output changes","author":"freytag","year":"2014","journal-title":"Proc ECCV"},{"key":"ref13","first-page":"802","article-title":"Active instance sampling via matrix partition","author":"guo","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","first-page":"593","article-title":"Discriminative batch mode active learning","author":"guo","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143897"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587350"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/34.291440"},{"key":"ref18","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref28","first-page":"441","article-title":"Toward optimal active learning through sampling estimation of error reduction","author":"roy","year":"2001","journal-title":"Proc 18th ICML"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389848"},{"key":"ref27","first-page":"6359","article-title":"Bayesian batch active learning as sparse subset approximation","author":"pinsler","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","first-page":"160","article-title":"Near-optimal batch mode active learning and adaptive submodular optimization","author":"chen","year":"2013","journal-title":"Proc The 30th Int Conf Mach Learn"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5019-5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2513092.2513094"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref7","author":"cook","year":"2015","journal-title":"Activity Learning Discovering Recognizing and Predicting Human Behavior from Sensor Data"},{"key":"ref2","first-page":"59","article-title":"Incorporating diversity in active learning with support vector machines","author":"brinker","year":"2003","journal-title":"Proc 20th Int Conf Mach Learn"},{"key":"ref1","article-title":"Batch active learning using determinantal point processes","author":"biyik","year":"2019","journal-title":"arXiv 1906 07975"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2072929"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2979315"},{"key":"ref21","author":"lichman","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767753"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.01.015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2172770"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09328799.pdf?arnumber=9328799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:46:02Z","timestamp":1662669962000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9328799\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3053003","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}