{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T01:46:42Z","timestamp":1773193602085,"version":"3.50.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1109\/tkde.2026.3658145","type":"journal-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:00:46Z","timestamp":1769634046000},"page":"2249-2261","source":"Crossref","is-referenced-by-count":0,"title":["Fast and Accurate Domain Adaptation for Irregular and Regular Tensor Decomposition"],"prefix":"10.1109","volume":"38","author":[{"given":"Junghun","family":"Kim","sequence":"first","affiliation":[{"name":"Interdisciplinary Program in Artificial Intelligence, Seoul National University, Gwanak-gu, South Korea"}]},{"given":"Ka Hyun","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Seoul National University, Gwanak-gu, South Korea"}]},{"given":"Jun-Gi","family":"Jang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, DGIST, Daegu, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8774-6950","authenticated-orcid":false,"given":"U","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Seoul National University, Gwanak-gu, South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557080"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28320-8_9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467290"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271682"},{"key":"ref5","first-page":"30","article-title":"PARAFAC2: Mathematical and technical notes","volume-title":"UCLA Work. Papers Phonetics","volume":"22","author":"Harshman","year":"1972"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482048"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324910000185"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403213"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2015.7324363"},{"key":"ref10","first-page":"1","article-title":"Foundations of the PARAFAC procedure: Models and conditions for an \u2018explanatory\u2019 multi-modal factor analysis","volume-title":"UCLA Work. Papers Phonetics","volume":"16","author":"Harshman","year":"1970"},{"key":"ref11","first-page":"899","article-title":"Do more views of a graph help? Community detection and clustering in multi-graphs","volume-title":"Proc. Int. Conf. Inf. Fusion","author":"Papalexakis","year":"2013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2004.07.003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108503"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2188026"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01199"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019956318069"},{"key":"ref17","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn","year":"2017"},{"key":"ref18","article-title":"On first-order meta-learning algorithms","author":"Nichol","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00229"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098014"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271775"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2011.5771448"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISSNIP.2005.1595593"},{"key":"ref24","first-page":"119","article-title":"Word recognition from continuous articulatory movement time-series data using symbolic representations","volume-title":"Proc. 4th Workshop Speech Lang. Process. Assistive Technol.","author":"Wang","year":"2013"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1120.003.0025"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2655045"},{"key":"ref27","first-page":"929","article-title":"Fast global alignment kernels","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Cuturi","year":"2011"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/21M1450033"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/sapm192761164"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281211"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946445"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/cem.689"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3568682"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976236.65"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599342"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020667"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-221985"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489213"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_31"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/app14209354"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.01.027"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61527-7_44"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977653.ch1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1080\/03461238.2023.2175326"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0341-y"},{"key":"ref46","article-title":"Driving with data: Modeling and forecasting vehicle fleet maintenance in detroit","author":"Gardner","year":"2017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06059-7"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2023.105030"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290998"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/339"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9587-4"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079209"},{"key":"ref53","first-page":"1920","article-title":"Online meta-learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn","year":"2019"},{"key":"ref54","first-page":"9537","article-title":"Probabilistic model-agnostic meta-learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Finn","year":"2018"},{"key":"ref55","first-page":"32","article-title":"Memory efficient online meta learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Acar","year":"2021"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1383"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1201\/b22400-12"},{"key":"ref58","article-title":"Towards fast adaptation of neural architectures with meta learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lian","year":"2020"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671670"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11427039\/11365962.pdf?arnumber=11365962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T05:22:07Z","timestamp":1773120127000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11365962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":59,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2026.3658145","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":[[2026,4]]}}}