{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T17:11:35Z","timestamp":1791825095591,"version":"4.3.4"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T00:00:00Z","timestamp":1539561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61572471"],"award-info":[{"award-number":["61572471"]}]},{"name":"National Natural Science Foundation of China","award":["61672313"],"award-info":[{"award-number":["61672313"]}]},{"name":"National Natural Science Foundation of China","award":["61702520"],"award-info":[{"award-number":["61702520"]}]},{"name":"CNS","award":["CNS-1626432"],"award-info":[{"award-number":["CNS-1626432"]}]},{"name":"Nanyang Technological University","award":["Nanyang Assistant Professorship"],"award-info":[{"award-number":["Nanyang Assistant Professorship"]}]},{"name":"National Key Research and Development Plan of China","award":["2016YFB1001200"],"award-info":[{"award-number":["2016YFB1001200"]}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["IIS-1526499"],"award-info":[{"award-number":["IIS-1526499"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["IIS-1763325"],"award-info":[{"award-number":["IIS-1763325"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,15]]},"DOI":"10.1145\/3240508.3240512","type":"proceedings-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T13:52:08Z","timestamp":1539870728000},"page":"402-410","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":549,"title":["Visual Domain Adaptation with Manifold Embedded Distribution Alignment"],"prefix":"10.1145","author":[{"given":"Jindong","family":"Wang","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjie","family":"Feng","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiqiang","family":"Chen","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Yu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meiyu","family":"Huang","sequence":"additional","affiliation":[{"name":"China Academy of Space Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,10,15]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298600"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.3007061"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.100"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.318"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248632"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Shai Ben-David John Blitzer Koby Crammer and Fernando Pereira. 2007. Analysis of representations for domain adaptation. In Advances in neural information processing systems. 137--144. Shai Ben-David John Blitzer Koby Crammer and Fernando Pereira. 2007. Analysis of representations for domain adaptation. In Advances in neural information processing systems. 137--144.","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"e_1_3_2_2_7_1","volume-title":"Proceedings of the 2018 AAAI International Conference on Artificial Intelligence.","author":"Cao Yue","year":"2018","unstructured":"Yue Cao , Mingsheng Long , and Jianmin Wang . 2018 . Unsupervised Domain Adaptation with Distribution Matching Machines . In Proceedings of the 2018 AAAI International Conference on Artificial Intelligence. Yue Cao, Mingsheng Long, and Jianmin Wang. 2018. Unsupervised Domain Adaptation with Distribution Matching Machines. In Proceedings of the 2018 AAAI International Conference on Artificial Intelligence."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00115"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/0096-3003(76)90020-5"},{"key":"e_1_3_2_2_11_1","volume-title":"International conference on machine learning. 647--655","author":"Donahue Jeff","year":"2014","unstructured":"Jeff Donahue , Yangqing Jia , Oriol Vinyals , Judy Hoffman , Ning Zhang , Eric Tzeng , and Trevor Darrell . 2014 . Decaf: A deep convolutional activation feature for generic visual recognition . In International conference on machine learning. 647--655 . Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. 2014. Decaf: A deep convolutional activation feature for generic visual recognition. In International conference on machine learning. 647--655."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.208"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.368"},{"key":"e_1_3_2_2_14_1","volume-title":"Scatter component analysis: A unified framework for domain adaptation and domain generalization","author":"Ghifary Muhammad","year":"2017","unstructured":"Muhammad Ghifary , David Balduzzi , W Bastiaan Kleijn , and Mengjie Zhang . 2017. Scatter component analysis: A unified framework for domain adaptation and domain generalization . IEEE transactions on pattern analysis and machine intelligence, Vol. 39 , 7 ( 2017 ), 1414--1430. Muhammad Ghifary, David Balduzzi, W Bastiaan Kleijn, and Mengjie Zhang. 2017. Scatter component analysis: A unified framework for domain adaptation and domain generalization. IEEE transactions on pattern analysis and machine intelligence, Vol. 39, 7 (2017), 1414--1430."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2355024"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126344"},{"key":"e_1_3_2_2_17_1","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton Arthur","year":"2012","unstructured":"Arthur Gretton , Karsten M. Borgwardt , Malte J. Rasch , Bernhard Sch\u00f6lkopf , and Alexander Smola . 2012 . A kernel two-sample test . Journal of Machine Learning Research , Vol. 13 , Mar (2012), 723 -- 773 . Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Sch\u00f6lkopf, and Alexander Smola. 2012. A kernel two-sample test. Journal of Machine Learning Research, Vol. 13, Mar (2012), 723--773.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390204"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2609820"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178422.3178429"},{"key":"e_1_3_2_2_21_1","volume-title":"Hinton","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , Ilya Sutskever , and Geoffrey E . Hinton . 2012 . Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.111"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2373376"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646121"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/1888089.1888106"},{"key":"e_1_3_2_2_30_1","first-page":"8","article-title":"Return of Frustratingly Easy Domain Adaptation","volume":"6","author":"Sun Baochen","year":"2016","unstructured":"Baochen Sun , Jiashi Feng , and Kate Saenko . 2016 . Return of Frustratingly Easy Domain Adaptation .. In AAAI , Vol. 6. 8 . Baochen Sun, Jiashi Feng, and Kate Saenko. 2016. Return of Frustratingly Easy Domain Adaptation.. In AAAI, Vol. 6. 8.","journal-title":"AAAI"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Baochen Sun and Kate Saenko. 2015. Subspace Distribution Alignment for Unsupervised Domain Adaptation. BMVC. 24--1. Baochen Sun and Kate Saenko. 2015. Subspace Distribution Alignment for Unsupervised Domain Adaptation. BMVC. 24--1.","DOI":"10.5244\/C.29.24"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0944-x"},{"key":"e_1_3_2_2_34_1","volume-title":"Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474","author":"Tzeng Eric","year":"2014","unstructured":"Eric Tzeng , Judy Hoffman , Ning Zhang , Kate Saenko , and Trevor Darrell . 2014. Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474 ( 2014 ). Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell. 2014. Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474 (2014)."},{"key":"e_1_3_2_2_35_1","volume-title":"Statistical learning theory","author":"Vapnik Vladimir Naumovich","unstructured":"Vladimir Naumovich Vapnik and Vlamimir Vapnik . 1998. Statistical learning theory . Vol. 1 . Wiley New York . Vladimir Naumovich Vapnik and Vlamimir Vapnik. 1998. Statistical learning theory. Vol. 1. Wiley New York."},{"key":"e_1_3_2_2_36_1","unstructured":"Jindong Wang etal 2018. Everything about Transfer Learning and Domain Adapation. http:\/\/transferlearning.xyz. (2018). Jindong Wang et al. 2018. Everything about Transfer Learning and Domain Adapation. http:\/\/transferlearning.xyz. (2018)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.150"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2510498"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2669193"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Jing Zhang Wanqing Li and Philip Ogunbona. 2017. Joint Geometrical and Statistical Alignment for Visual Domain Adaptation CVPR . Jing Zhang Wanqing Li and Philip Ogunbona. 2017. Joint Geometrical and Statistical Alignment for Visual Domain Adaptation CVPR .","DOI":"10.1109\/CVPR.2017.547"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123292"}],"event":{"name":"MM '18: ACM Multimedia Conference","location":"Seoul Republic of Korea","acronym":"MM '18","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 26th ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240508.3240512","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3240508.3240512","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3240508.3240512","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T20:39:58Z","timestamp":1775248798000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240508.3240512"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,15]]},"references-count":41,"alternative-id":["10.1145\/3240508.3240512","10.1145\/3240508"],"URL":"https:\/\/doi.org\/10.1145\/3240508.3240512","relation":{},"subject":[],"published":{"date-parts":[[2018,10,15]]},"assertion":[{"value":"2018-10-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}