{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T09:01:17Z","timestamp":1767085277292,"version":"3.37.3"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"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 Fund of China","doi-asserted-by":"publisher","award":["61771079"],"award-info":[{"award-number":["61771079"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Fund of Chongqing","award":["cstc2018jcyjAX0250"],"award-info":[{"award-number":["cstc2018jcyjAX0250"]}]},{"name":"Chongqing Youth Talent Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. II"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/tcsii.2020.2977039","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T22:19:01Z","timestamp":1582928341000},"page":"2802-2806","source":"Crossref","is-referenced-by-count":6,"title":["Reliable Domain Adaptation With Classifiers Competition for Image Classification"],"prefix":"10.1109","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4175-395X","authenticated-orcid":false,"given":"Jingru","family":"Fu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5305-8543","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2599532"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36204-1_8"},{"key":"ref12","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00392"},{"key":"ref14","volume":"3","author":"boyd","year":"2011","journal-title":"Distributed optimization and statistical learning via the alternating direction method of multipliers"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref16","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","author":"long","year":"2016","journal-title":"Proc Proc Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref17","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"Proc Int Conf Int Conf Mach Learn (ICML)"},{"key":"ref18","first-page":"4068","article-title":"Simultaneous deep transfer across domains and tasks","author":"tzeng","year":"2017","journal-title":"Proc Int Conf Comput Vis (ICCV)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2510498"},{"key":"ref4","first-page":"2200","article-title":"Transfer feature learning with joint distribution adaptation","author":"long","year":"2014","journal-title":"Proc Int Conf Comput Vis (ICCV)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.547"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.100"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598679"},{"key":"ref8","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"Proc Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref7","first-page":"2960","article-title":"Unsupervised visual domain adaptation using subspace alignment","author":"fernando","year":"2014","journal-title":"Proc Int Conf Comput Vis (ICCV)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2019.2954709"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2547397"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref22"},{"journal-title":"Caltech-256 Object Category Dataset","year":"2007","author":"griffin","key":"ref21"},{"article-title":"Columbia object image library (coil-20)","year":"1996","author":"nene","key":"ref23"}],"container-title":["IEEE Transactions on Circuits and Systems II: Express Briefs"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8920\/9242338\/09018234.pdf?arnumber=9018234","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T16:52:10Z","timestamp":1651078330000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9018234\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":23,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcsii.2020.2977039","relation":{},"ISSN":["1549-7747","1558-3791"],"issn-type":[{"type":"print","value":"1549-7747"},{"type":"electronic","value":"1558-3791"}],"subject":[],"published":{"date-parts":[[2020,11]]}}}