{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T04:19:36Z","timestamp":1773116376944,"version":"3.50.1"},"reference-count":57,"publisher":"Informa UK Limited","issue":"3","funder":[{"name":"U.S. Department of Energy\u2019s Office of Energy Efficiency and Renewable Energy"},{"name":"Solar Energy Technology Office","award":["DE-EE0009354"],"award-info":[{"award-number":["DE-EE0009354"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Technometrics"],"published-print":{"date-parts":[[2025,7,3]]},"DOI":"10.1080\/00401706.2025.2453206","type":"journal-article","created":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:55:17Z","timestamp":1737104117000},"page":"409-425","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":0,"title":["Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data"],"prefix":"10.1080","volume":"67","author":[{"given":"Jiuyun","family":"Hu","sequence":"first","affiliation":[{"name":"School of Computing and Augmented Intelligence, Arizona State University","place":["Tempe"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naichen","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Industrial & Operations Engineering, University of Michigan","place":["Ann Arbor"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4546-324X","authenticated-orcid":false,"given":"Raed","family":"Al Kontar","sequence":"additional","affiliation":[{"name":"Department of Industrial & Operations Engineering, University of Michigan","place":["Ann Arbor"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4322-7323","authenticated-orcid":false,"given":"Hao","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Computing and Augmented Intelligence, Arizona State University","place":["Tempe"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2025,3,19]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"e_1_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4052660"},{"key":"e_1_3_2_5_1","unstructured":"Dulal D. Karim R. G. and Navasca C. (2022) \u201cCovid-19 Analysis Using Tensor Methods \u201d arXiv preprint arXiv:2212.14558."},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.01.027"},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2553155"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2019.1708463"},{"key":"e_1_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114559"},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2022.2127914"},{"key":"e_1_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac8a64"},{"key":"e_1_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108513"},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2253485"},{"key":"e_1_3_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7"},{"key":"e_1_3_2_15_1","first-page":"16000","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"He K.","year":"2022","unstructured":"He, K., Chen, X., Xie, S., Li, Y., Doll\u00e1r, P., and Girshick, R. (2022), \u201cMasked Autoencoders are Scalable Vision Learners,\u201d in Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16000\u201316009."},{"key":"e_1_3_2_16_1","first-page":"6893","volume-title":"i Proceedings of the AAAI Conference on Artificial Intelligence","volume":"36","author":"He Y.","year":"2022","unstructured":"He, Y., and Atia, G. K. (2022), \u201cMulti-Mode Tensor Space Clustering based on Low-Tensor-Rank Representation,\u201d i Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36), pp. 6893\u20136901."},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/sapm192761164"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.3390\/a12110240"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"e_1_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3127448"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4002531"},{"key":"e_1_3_2_22_1","unstructured":"Li J. Gao Q. Wang Q. Xia W. and Gao X. (2023) \u201cMulti-View Clustering via Semi-Non-negative Tensor Factorization \u201d arXiv preprint arXiv:2303.16748."},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-011-0017-0"},{"key":"e_1_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5915"},{"key":"e_1_3_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3530990"},{"key":"e_1_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2014.947005"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2891760"},{"key":"e_1_3_2_28_1","volume-title":"Solar Storm Threat Analysis","author":"Marusek J. A.","year":"2007","unstructured":"Marusek, J. A. (2007), Solar Storm Threat Analysis, J. Marusek."},{"key":"e_1_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.2613214"},{"key":"e_1_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690400809"},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3227317"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2163-y"},{"key":"e_1_3_2_33_1","first-page":"1","article-title":"\u201cSmooth Robust Tensor Completion for Background\/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee,\u201d","volume":"23","author":"Shen B.","year":"2022","unstructured":"Shen, B., Xie, W., and Kong, Z. J. (2022), \u201cSmooth Robust Tensor Completion for Background\/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee,\u201d Journal of Machine Learning Research, 23, 1\u201340.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_34_1","unstructured":"Shi N. and Kontar R. A. (2022) \u201cPersonalized PCA: Decoupling Shared and Unique Features \u201d arXiv preprint arXiv:2207.08041."},{"key":"e_1_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2018.1527701"},{"key":"e_1_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36669-7_70"},{"key":"e_1_3_2_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"},{"key":"e_1_3_2_38_1","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.2018.1507560"},{"key":"e_1_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.11.030"},{"key":"e_1_3_2_40_1","article-title":"\u201cGeneral Tensor Spectral Co-clustering for Higher-Order Data,\u201d in","volume":"29","author":"Wu T.","year":"2016","unstructured":"Wu, T., Benson, A. R., and Gleich, D. F. (2016), \u201cGeneral Tensor Spectral Co-clustering for Higher-Order Data,\u201d in Advances in Neural Information Processing Systems (Vol. 29).","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2012.2234082"},{"key":"e_1_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2021.1882013"},{"key":"e_1_3_2_43_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2018.1529628"},{"key":"e_1_3_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2327029"},{"key":"e_1_3_2_45_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2015.1102764"},{"key":"e_1_3_2_46_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2017.1346522"},{"key":"e_1_3_2_47_1","first-page":"526","volume-title":"2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905)","volume":"1","author":"Yan S.","year":"2005","unstructured":"Yan, S., Xu, D., Yang, Q., Zhang, L., Tang, X., and Zhang, H.-J. (2005), \u201cDiscriminant Analysis with Tensor Representation,\u201d in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905), (Vol. 1), pp. 526\u2013532, IEEE."},{"key":"e_1_3_2_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-019-03912-x"},{"key":"e_1_3_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604560"},{"key":"e_1_3_2_50_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2022.2124307"},{"key":"e_1_3_2_51_1","doi-asserted-by":"publisher","DOI":"10.1080\/24725579.2021.1982081"},{"key":"e_1_3_2_52_1","doi-asserted-by":"publisher","DOI":"10.1080\/02664763.2021.1874892"},{"key":"e_1_3_2_53_1","volume-title":"The 13th International Workshop on Intelligent Statistical Quality Control 2019","author":"Zhao Y.","year":"2020","unstructured":"Zhao, Y., Yan, H., Holte, S. E., Kerani, R. P., and Mei, Y. (2020), \u201cRapid Detection of Hot-Spot by Tensor Decomposition on Space and Circular Time with Application to Weekly Gonorrhea Data,\u201d in The 13th International Workshop on Intelligent Statistical Quality Control 2019."},{"key":"e_1_3_2_54_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2022.2157880"},{"key":"e_1_3_2_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2015.2468058"},{"key":"e_1_3_2_56_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2013.776499"},{"key":"e_1_3_2_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2954874"},{"key":"e_1_3_2_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2013.6622725"}],"container-title":["Technometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00401706.2025.2453206","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T15:49:33Z","timestamp":1773071373000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00401706.2025.2453206"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,19]]},"references-count":57,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,7,3]]}},"alternative-id":["10.1080\/00401706.2025.2453206"],"URL":"https:\/\/doi.org\/10.1080\/00401706.2025.2453206","relation":{},"ISSN":["0040-1706","1537-2723"],"issn-type":[{"value":"0040-1706","type":"print"},{"value":"1537-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,19]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=utch20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=utch20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-09-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-01-01","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-01-03","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-03-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}