{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T17:28:41Z","timestamp":1729618121248,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/icpr.2016.7899860","type":"proceedings-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T21:12:47Z","timestamp":1493068367000},"page":"1566-1570","source":"Crossref","is-referenced-by-count":2,"title":["A simple approach for unsupervised domain adaptation"],"prefix":"10.1109","author":[{"family":"Xifeng Guo","sequence":"first","affiliation":[]},{"family":"Wei Chen","sequence":"additional","affiliation":[]},{"family":"Jianping Yin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"264","article-title":"Instance weighting for domain adaptation in NLP","volume":"7","author":"jiang","year":"2007","journal-title":"Annual Meeting of the Association for Computational Linguistics (ACL)"},{"key":"ref11","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.368"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299009"},{"key":"ref4","first-page":"256","article-title":"Frustratingly easy domain adaptation","author":"daum\u00e9","year":"2007","journal-title":"Annual Meeting of the Association for Computational Linguistics (ACL)"},{"key":"ref3","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref6","first-page":"677","article-title":"Transfer learning via dimensionality reduction","author":"pan","year":"2008","journal-title":"Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08)"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.10306","article-title":"Return of frustratingly easy domain adaptation","author":"sun","year":"2016","journal-title":"The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15)"},{"key":"ref8","article-title":"Cross language text classification via subspace co-regularized multi-view learning","author":"guo","year":"2012","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.265"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995347"},{"key":"ref1","first-page":"213","article-title":"Adapting visual category models to new domains","author":"saenko","year":"2010","journal-title":"European Conference on Computer Vision (ECCV)"},{"key":"ref9","first-page":"601","article-title":"Correcting sample selection bias by unlabeled data","author":"huang","year":"2006","journal-title":"Advances in Neural Information Processing Systems (NIPS)"}],"event":{"name":"2016 23rd International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2016,12,4]]},"location":"Cancun","end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 23rd International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7893644\/7899596\/07899860.pdf?arnumber=7899860","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T21:19:07Z","timestamp":1658956747000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7899860\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/icpr.2016.7899860","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}