{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:01Z","timestamp":1740100021784,"version":"3.37.3"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"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":["61303093,61402278"],"award-info":[{"award-number":["61303093,61402278"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412752","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"1796-1803","source":"Crossref","is-referenced-by-count":0,"title":["A Unified Framework for Distance-Aware Domain Adaptation"],"prefix":"10.1109","author":[{"given":"Fei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youdong","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuzhen","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqi","family":"Che","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"647","article-title":"DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition","author":"donahue","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref32","first-page":"1697","article-title":"Joint Feature Selection and Structure Preservation for Domain Adaptation","author":"li","year":"0","journal-title":"International Joint Conference on Artificial Intelligence"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00124"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2019254"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00309"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2832198"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2669193"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.368"},{"key":"ref13","first-page":"2058","article-title":"Return of Frustratingly Easy Domain Adaptation","author":"sun","year":"0","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref14","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"0","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240512"},{"journal-title":"Deep domain confusion Maximizing for domain invariance","year":"2014","author":"tzeng","key":"ref16"},{"key":"ref17","first-page":"97","article-title":"Learning Transferable Features with Deep Adaptation Networks","author":"long","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref18","first-page":"443","article-title":"Deep CORAL: Correlation Alignment for Deep Domain Adaptation","author":"sun","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref19","first-page":"2208","article-title":"Deep Transfer Learning with Joint Adaptation Networks","author":"long","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2510498"},{"key":"ref4","first-page":"723","article-title":"A Kernel Two-Sample Test","volume":"13","author":"gretton","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0696-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.150"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref8","first-page":"137","article-title":"Analysis of Representations for Domain Adaptation","author":"ben-david","year":"0","journal-title":"Annual Conference on Neural Information Processing Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.547"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0944-x"},{"key":"ref1","first-page":"131","article-title":"Covariate shift and local learning by distribution matching","author":"gretton","year":"2009","journal-title":"MIT Press"},{"key":"ref20","first-page":"136","article-title":"Unsupervised Domain Adaptation with Residual Transfer Networks","author":"long","year":"0","journal-title":"Annual Conference on Neural Information Processing Systems"},{"key":"ref22","first-page":"1180","article-title":"Unsupervised Domain Adaptation by Backpropagation","author":"ganin","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref21","first-page":"4893","article-title":"Unsupervised Domain Adaptation With Similarity Learning","author":"kang","year":"0","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","first-page":"4893","article-title":"Contrastive Adaptation Network for Unsupervised Domain Adaptation","author":"pinheiro","year":"0","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00400"},{"journal-title":"Discriminative Label Consistent Domain Adaptation","year":"2018","author":"luo","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00517"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412752.pdf?arnumber=9412752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:55Z","timestamp":1652197255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412752\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412752","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}