{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:51:13Z","timestamp":1773931873776,"version":"3.50.1"},"reference-count":67,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":["61105021"],"award-info":[{"award-number":["61105021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LGF19F030002"],"award-info":[{"award-number":["LGF19F030002"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2020JM-073"],"award-info":[{"award-number":["2020JM-073"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["xzy022020051"],"award-info":[{"award-number":["xzy022020051"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tifs.2021.3125612","type":"journal-article","created":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T19:25:18Z","timestamp":1636053918000},"page":"5182-5194","source":"Crossref","is-referenced-by-count":13,"title":["Learning With Partners to Improve the Multi-Source Cross-Dataset Palmprint Recognition"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9970-1576","authenticated-orcid":false,"given":"Huikai","family":"Shao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6806-6300","authenticated-orcid":false,"given":"Dexing","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1049\/bme2.12014"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2973357"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.03.027"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1049\/el.2019.1221"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3002463"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3039895"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.12.072"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.29.1.013018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107071"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2911165"},{"key":"ref60","first-page":"513","article-title":"A kernel method for the two-sample-problem","author":"gretton","year":"2006","journal-title":"Proc 20th Annu Conf Neural Inf Process Syst"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00098"},{"key":"ref61","first-page":"281","article-title":"Multispectral palm image fusion for accurate contact-free palmprint recognition","author":"hao","year":"2008","journal-title":"Proc 15th IEEE Int Conf Image Process"},{"key":"ref63","first-page":"3981","article-title":"Learning to learn by gradient descent by gradient descent","author":"andrychowicz","year":"2016","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2020.0106"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.04.016"},{"key":"ref65","first-page":"84","article-title":"Deep metric learning using triplet network","author":"hoffer","year":"2015","journal-title":"Pattern Recognition Proc"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.06.086"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3024593"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3013186"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.818349"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2071389.2071391"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.09.032"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.10.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.04.033"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539909"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3019701"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2964076"},{"key":"ref50","first-page":"1994","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn (ICML)"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015989"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref58","first-page":"10214","article-title":"Domain aggregation networks for multi-source domain adaptation","author":"wen","year":"2020","journal-title":"Proc 37th Int Conf Mach Learn (ICML)"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_43"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01085"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6997"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00417"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014739"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3065220"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2945183"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s120607938"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803778"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00241"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3053991"},{"key":"ref16","first-page":"1214","article-title":"Optimal kernel choice for large-scale two-sample tests","author":"gretton","year":"2012","journal-title":"Proc 26th Annu Conf Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.08.016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1227981"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.05.010"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.081"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3032041"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.242"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2992219"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2795609"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1201\/9781420048810"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_29"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2912552"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013296"},{"key":"ref45","first-page":"2","article-title":"Gradient regularized contrastive learning for continual domain adaptation","author":"tang","year":"2021","journal-title":"Proc 35th AAAI Conf Artif Intell (AAAI)"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00541"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref42","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"Proc ICML"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5745"},{"key":"ref43","first-page":"443","article-title":"Deep CORAL: Correlation alignment for deep domain adaptation","author":"sun","year":"2016","journal-title":"Proc ECCV"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/9151439\/09600889.pdf?arnumber=9600889","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:40Z","timestamp":1652194360000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9600889\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/tifs.2021.3125612","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}