{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T23:54:52Z","timestamp":1772236492948,"version":"3.50.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006118"],"award-info":[{"award-number":["62006118"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61906092"],"award-info":[{"award-number":["61906092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773198"],"award-info":[{"award-number":["61773198"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91746301"],"award-info":[{"award-number":["91746301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Jiangsu Province of China","award":["BK20200460"],"award-info":[{"award-number":["BK20200460"]}]},{"name":"Natural Science Foundation of Jiangsu Province of China","award":["BK20190441"],"award-info":[{"award-number":["BK20190441"]}]},{"name":"Jiangsu Shuangchuang"},{"name":"CAAI-Huawei MindSpore Open Fund","award":["CAAIXSJLJJ-2021-014B"],"award-info":[{"award-number":["CAAIXSJLJJ-2021-014B"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/tkde.2021.3132622","type":"journal-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T20:41:24Z","timestamp":1638909684000},"page":"3575-3588","source":"Crossref","is-referenced-by-count":32,"title":["Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5245-3584","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"first","affiliation":[{"name":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7226-7773","authenticated-orcid":false,"given":"Da-Wei","family":"Zhou","sequence":"additional","affiliation":[{"name":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9303-2519","authenticated-orcid":false,"given":"De-Chuan","family":"Zhan","sequence":"additional","affiliation":[{"name":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}]},{"given":"Hui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Management Science and Information Systems Department, Rutgers Business School, Rutgers University, Newark, NJ, USA"}]},{"given":"Yuan","family":"Jiang","sequence":"additional","affiliation":[{"name":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4800-832X","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098027"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220122"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-012-5319-2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.163"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-020-3117-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-019-8390-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220012"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-020-9994-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2523813"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.97.2.285"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_33"},{"key":"ref15","first-page":"4655","article-title":"Overcoming catastrophic forgetting by incremental moment matching","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Lee"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2307881"},{"key":"ref17","first-page":"2280","article-title":"Learning by actively querying strong modal features","volume-title":"Proc. 25th Int. Joint Conf. Artif. Intell.","author":"Yang"},{"key":"ref18","first-page":"253","article-title":"Joint transfer and batch-mode active learning","volume-title":"Proc. Int. Conf. Int. Conf. Mach. Learn.","author":"Chattopadhyay"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0507-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00755"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130417"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50027-X"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2499788.2499794"},{"key":"ref24","article-title":"Adaptive convolutional ELM for concept drift handling in online stream data","volume":"abs\/1610.02348","author":"Budiman","year":"2016","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.112"},{"key":"ref26","first-page":"392","article-title":"Online stochastic linear optimization under one-bit feedback","volume-title":"Proc. Int. Conf. Int. Conf. Mach. Learn.","author":"Jun Zhang"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/369"},{"key":"ref28","first-page":"1669","article-title":"Dual-memory deep learning architectures for lifelong learning of everyday human behaviors","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Lee"},{"key":"ref29","first-page":"1453","article-title":"Online incremental feature learning with denoising autoencoders","volume-title":"Proc. 15th Int. Conf. Artif. Intell. Statist.","author":"Zhou"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3054925"},{"key":"ref31","first-page":"487","article-title":"Detecting concept drift with support vector machines","volume-title":"Proc. Int. Conf. Int. Conf. Mach. Learn.","author":"Klinkenberg"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2004-8305"},{"key":"ref33","first-page":"2323","article-title":"Optimal and adaptive algorithms for online boosting","volume-title":"Proc. IEEE Int. Conf. Data Mining","author":"Beygelzimer"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-016-9389-5"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2264952"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11651"},{"key":"ref38","article-title":"Lifelong learning with dynamically expandable networks","volume":"abs\/1708.01547","author":"Lee","year":"2017","journal-title":"CoRR"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"ref40","first-page":"45","article-title":"Support vector machine active learning with applications to text classification","volume":"2","author":"Tong","year":"2001","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2018.11.007"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390183"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_14"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220026"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330865"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1966.10480879"},{"key":"ref47","article-title":"Net2net: Accelerating learning via knowledge transfer","author":"Chen","year":"2015","journal-title":"CoRR"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017746"},{"key":"ref49","article-title":"Revisiting natural gradient for deep networks","author":"Pascanu","year":"2013"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/18.259674"},{"key":"ref51","volume-title":"Riemannian Manifolds: An Introduction to Curvature","author":"Lee","year":"2006"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014069"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref54","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref55","article-title":"UCF101: A dataset of 101 human actions classes from videos in the wild","volume":"abs\/1212.0402","author":"Soomro","year":"2012","journal-title":"CoRR"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2160459"},{"key":"ref57","volume-title":"Splice-2 Comparative Evaluation: Electricity Pricing","author":"Harries","year":"1999"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.42"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220005"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref61","first-page":"73","article-title":"Visualizing time-dependent data using dynamic t-SNE","volume-title":"Proc. Eurographics \/ IEEE VGTC Conf. Vis., Short Papers","author":"Rauber"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10063074\/09641751.pdf?arnumber=9641751","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T20:48:11Z","timestamp":1709326091000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9641751\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":61,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3132622","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]}}}