{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T04:24:35Z","timestamp":1777695875660,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDA"],"published-print":{"date-parts":[[2020,3,27]]},"DOI":"10.3233\/ida-194516","type":"journal-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T15:02:31Z","timestamp":1585666951000},"page":"409-425","source":"Crossref","is-referenced-by-count":1,"title":["Biased transfer matching for less overlapping degree for unsupervised domain adaptation"],"prefix":"10.1177","volume":"24","author":[{"given":"Yiran","family":"Wen","sequence":"first","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiu","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueping","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic, Wuhan University, Wuhan, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/IDA-194516_ref1","doi-asserted-by":"crossref","unstructured":"H. Wang, F. Nie, H. Huang and C. Ding, Dyadic transfer learning for cross-domain image classication, In Proceedings of ICCV, 2011.","DOI":"10.1109\/ICCV.2011.6126287"},{"key":"10.3233\/IDA-194516_ref2","doi-asserted-by":"crossref","unstructured":"L. Jie, T. Tommasi and B. Caputo, Multiclass transfer learning from unconstrained priors, in Proc. of ICCV, 2011.","DOI":"10.1109\/ICCV.2011.6126454"},{"key":"10.3233\/IDA-194516_ref3","doi-asserted-by":"crossref","unstructured":"S.D. Roy, T. Mei, W. Zeng and S. Li, Socialtransfer, Crossdomain transfer learning from social streams for media applications, in Proceedings of ACM MM, 2012.","DOI":"10.1145\/2393347.2393437"},{"key":"10.3233\/IDA-194516_ref4","unstructured":"S. Wang, S. Jiang, Q. Huang and Q. Tian, Multi-featuremetric learning with knowledge transfer among semantics and social tagging, in Proceedings of CVPR, 2012."},{"key":"10.3233\/IDA-194516_ref5","doi-asserted-by":"crossref","unstructured":"C.H. Lampert, H. Nickisch and S. Harmeling, Learning to detect unseen object classes bybetween-class attributetransfer, in Proceedings of CVPR, 2009.","DOI":"10.1109\/CVPR.2009.5206594"},{"key":"10.3233\/IDA-194516_ref6","doi-asserted-by":"crossref","unstructured":"Y. Aytar, A. Zisserman and T. Rasa, Model transfer for object category detection, in Proceedings of ICCV, 2011.","DOI":"10.1109\/ICCV.2011.6126504"},{"key":"10.3233\/IDA-194516_ref7","doi-asserted-by":"crossref","unstructured":"R. Gopalan, R. Li and R. Chellappa, Domain adaptation for object recognition: An unsupervised approach, in Proceedings of ICCV, 2011.","DOI":"10.1109\/ICCV.2011.6126344"},{"key":"10.3233\/IDA-194516_ref8","doi-asserted-by":"crossref","unstructured":"M. Guillaumin and V. Ferrari, Large-scale knowledge transfer for object localization in imagenet, in Proceedings of CVPR, 2012.","DOI":"10.1109\/CVPR.2012.6248055"},{"key":"10.3233\/IDA-194516_ref9","doi-asserted-by":"crossref","unstructured":"C.H. Lampert and O. Kromer, Weakly-paired maximum covariance analysis formultimodal dimensionalityreduction and transfer learning, in Proceedings of ECCV, 2010.","DOI":"10.1007\/978-3-642-15552-9_41"},{"key":"10.3233\/IDA-194516_ref10","doi-asserted-by":"crossref","unstructured":"I.-H. Jhuo, D. Liu, D.-T. Lee and S.-F. Chang, Robust visual domain adaptation with low-rank reconstruction, in Proceedings of CVPR, 2012.","DOI":"10.1109\/CVPR.2012.6247924"},{"key":"10.3233\/IDA-194516_ref11","doi-asserted-by":"crossref","unstructured":"Q. Qiu, V.M. Patel, P. Turaga and R. Chellappa, Domain adaptive dictionarylearning, in Proceedings of ECCV, 2012.","DOI":"10.1007\/978-3-642-33765-9_45"},{"key":"10.3233\/IDA-194516_ref12","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","article-title":"Domain adaptation via transfer component analysis","volume":"22.2","author":"Pan","year":"2011","journal-title":"IEEE Transactions on Neural Networks"},{"key":"10.3233\/IDA-194516_ref13","doi-asserted-by":"crossref","unstructured":"M. Long et al., Transfer Feature Learning with Joint Distribution Adaptation, IEEE International Conference on Computer Vision IEEE, 2014, pp.\u00a02200\u20132207.","DOI":"10.1109\/ICCV.2013.274"},{"key":"10.3233\/IDA-194516_ref14","doi-asserted-by":"crossref","unstructured":"M. Long et al., Transfer Joint Matching for Unsupervised Domain Adaptation, Computer Vision and Pattern Recognition IEEE, 2014, pp. 1410\u20131417.","DOI":"10.1109\/CVPR.2014.183"},{"key":"10.3233\/IDA-194516_ref15","doi-asserted-by":"crossref","unstructured":"J. Wang et al., Balanced Distribution Adaptation for Transfer Learning, IEEE International Conference on Data Mining IEEE, 2017, pp.\u00a01129\u20131134.","DOI":"10.1109\/ICDM.2017.150"},{"key":"10.3233\/IDA-194516_ref16","unstructured":"B. Schlkopf, J. Platt and T. Hofmann, A Kernel Method for the Two-Sample-Problem, abs\/0805.2368.2007 (2008), pp.\u00a0513\u2013520."},{"key":"10.3233\/IDA-194516_ref17","doi-asserted-by":"crossref","unstructured":"J. Wang et al., Stratified Transfer Learning for Cross-domain Activity Recognition, IEEE International Conference on Pervasive Computing and Communications IEEE Computer Society, 2018, pp. 1\u201310.","DOI":"10.1109\/PERCOM.2018.8444572"},{"issue":"2","key":"10.3233\/IDA-194516_ref18","first-page":"1","article-title":"Visual domain adaptation via transfer feature learning","volume":"50","author":"Tahmoresnezhad","year":"2016","journal-title":"Knowledge & Information Systems"},{"key":"10.3233\/IDA-194516_ref19","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6.2","author":"Deb","year":"2002","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.3233\/IDA-194516_ref20","unstructured":"B. Gong, Y. Shi, F. Sha and K. Grauman, Geodesic flow kernel for unsupervised domain adaptation, In Proceedings of CVPR, 2012."},{"key":"10.3233\/IDA-194516_ref21","doi-asserted-by":"crossref","unstructured":"S. Si, D. Tao and B. Geng, Bregmandivergence-based regularization for transfer subspace learning, IEEE TKDE, 2010.","DOI":"10.1109\/TKDE.2009.126"}],"container-title":["Intelligent Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDA-194516","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:18:42Z","timestamp":1777454322000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDA-194516"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,27]]},"references-count":21,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/ida-194516","relation":{},"ISSN":["1088-467X","1571-4128"],"issn-type":[{"value":"1088-467X","type":"print"},{"value":"1571-4128","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,27]]}}}