{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:48:49Z","timestamp":1778860129926,"version":"3.51.4"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T00:00:00Z","timestamp":1593216000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T00:00:00Z","timestamp":1593216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s00138-020-01093-2","type":"journal-article","created":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T17:04:19Z","timestamp":1593277459000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Multi-source domain adaptation for image classification"],"prefix":"10.1007","volume":"31","author":[{"given":"Morvarid","family":"Karimpour","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiva","family":"Noori\u00a0Saray","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4893-1272","authenticated-orcid":false,"given":"Jafar","family":"Tahmoresnezhad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Pourmahmood\u00a0Aghababa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,27]]},"reference":[{"issue":"3","key":"1093_CR1","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/MSP.2014.2347059","volume":"32","author":"VM Patel","year":"2015","unstructured":"Patel, V.M., Gopalan, R., Li, R., Chellappa, R.: Visual domain adaptation: a survey of recent advances. IEEE Signal. Process. Mag. 32(3), 53 (2015)","journal-title":"IEEE Signal. Process. Mag."},{"key":"1093_CR2","unstructured":"Csurka, G.: arXiv preprint arXiv:1702.05374 (2017)"},{"issue":"4","key":"1093_CR3","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1561\/0600000057","volume":"8","author":"R Gopalan","year":"2015","unstructured":"Gopalan, R., Li, R., Patel, V.M., Chellappa, R., et al.: Domain adaptation for visual recognition. Found. Tr. Comput. Gr. Vis. 8(4), 285 (2015)","journal-title":"Found. Tr. Comput. Gr. Vis."},{"key":"1093_CR4","unstructured":"Fernando, B., Habrard, A., Sebban, M., Tuytelaars, T.: Proceedings of the IEEE international conference on computer vision pp. 2960\u20132967 (2013)"},{"key":"1093_CR5","doi-asserted-by":"crossref","unstructured":"Xiong, C., McCloskey, S., Hsieh, S.H., Corso, J.J.: Latent domains modeling for visual domain adaptation. In: Twenty-Eighth AAAI Conference on Artificial Intelligence, pp. 2860\u20132866 (2014)","DOI":"10.1609\/aaai.v28i1.9136"},{"key":"1093_CR6","unstructured":"Tahmoresnezhad, J., Hashemi, S.: in 2015 7th Conference on Information and Knowledge Technology (IKT) (IEEE, 2015), pp. 1\u20135"},{"issue":"1","key":"1093_CR7","doi-asserted-by":"publisher","first-page":"292","DOI":"10.3906\/elk-1503-245","volume":"25","author":"J Tahmoresnezhad","year":"2017","unstructured":"Tahmoresnezhad, J., Hashemi, S.: Exploiting kernel-based feature weighting and instance clustering to transfer knowledge across domains. Turk. J. Electr. Eng. Comput. Sci. 25(1), 292 (2017)","journal-title":"Turk. J. Electr. Eng. Comput. Sci."},{"key":"1093_CR8","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"S Pan","year":"2010","unstructured":"Pan, S., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22, 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"1093_CR9","unstructured":"Chen, M., Weinberger, K.Q., Blitzer, J.: Co-training for domain adaptation. In: Proceedings of the 24th International Conference on Neural Information Processing Systems (NIPS), pp. 2456\u20132464 (2011)"},{"key":"1093_CR10","unstructured":"Gong, B., Shi, Y., Sha, F., Grauman, K.: Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on pp. 2066\u20132073 (2012)"},{"key":"1093_CR11","unstructured":"Gopalan, R., Li, R., Chellappa, R.: Computer Vision (ICCV), 2011 IEEE International Conference on pp. 999\u20131006 (2011)"},{"key":"1093_CR12","doi-asserted-by":"crossref","unstructured":"Xiao, M., Guo, Y.: Joint European Conference on Machine Learning and Knowledge Discovery in Databases pp. 525\u2013540 (2015)","DOI":"10.1007\/978-3-319-23525-7_32"},{"key":"1093_CR13","unstructured":"Yao, T., Pan, Y., Ngo, C.W., Li, H., Mei, T.: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp. 2142\u20132150 (2015)"},{"key":"1093_CR14","first-page":"213","volume":"2010","author":"K Saenko","year":"2010","unstructured":"Saenko, K., Kulis, B., Fritz, M., Darrell, T.: Adapting visual category models to new domains. Compu. Vis. ECCV 2010, 213\u2013226 (2010)","journal-title":"Compu. Vis. ECCV"},{"key":"1093_CR15","doi-asserted-by":"crossref","unstructured":"Gretton, A., Borgwardt, K.M., Rasch, M., Sch\u00f6lkopf, B., Smola, A.J.: Advances in neural information processing systems. 513\u2013520 (2007)","DOI":"10.7551\/mitpress\/7503.003.0069"},{"issue":"4","key":"1093_CR16","first-page":"18","volume":"6","author":"R Chattopadhyay","year":"2012","unstructured":"Chattopadhyay, R., Sun, Q., Fan, W., Davidson, I., Panchanathan, S., Ye, J.: Multisource domain adaptation and its application to early detection of fatigue. ACM Trans. Knowl. Discov. Data (TKDD) 6(4), 18 (2012)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"1093_CR17","unstructured":"Duan, L., Xu, D., Chang, S.F.: Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on pp. 1338\u20131345 (2012)"},{"issue":"3","key":"1093_CR18","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1109\/TNNLS.2011.2178556","volume":"23","author":"L Duan","year":"2012","unstructured":"Duan, L., Xu, D., Tsang, I.W.H.: Domain adaptation from multiple sources: a domain-dependent regularization approach. IEEE Trans. Neural Netw. Learn. Syst. 23(3), 504 (2012)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1093_CR19","first-page":"702","volume-title":"Discovering latent domains for multisource domain adaptation","author":"J Hoffman","year":"2012","unstructured":"Hoffman, J., Kulis, B., Darrell, T., Saenko, K.: Discovering latent domains for multisource domain adaptation, pp. 702\u2013715. Springer, Berlin (2012)"},{"key":"1093_CR20","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.inffus.2014.12.003","volume":"24","author":"S Sun","year":"2015","unstructured":"Sun, S., Shi, H., Wu, Y.: A survey of multi-source domain adaptation. Inf. Fus. 24, 84 (2015)","journal-title":"Inf. Fus."},{"key":"1093_CR21","unstructured":"Sun, S.L., Shi, H.L.: Machine Learning and Cybernetics (ICMLC), 2013 International Conference on 1, 24 (2013)"},{"key":"1093_CR22","doi-asserted-by":"crossref","unstructured":"Wu, F., Huang, Y.: Sentiment domain adaptation with multiple sources. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), vol. 1, pp. 301\u2013310 (2016)","DOI":"10.18653\/v1\/P16-1029"},{"key":"1093_CR23","unstructured":"Sim, T., Baker, S., Bsat, M.: Automatic Face and Gesture Recognition, 2002. Proceedings 5th IEEE International Conference on pp. 53\u201358 (2002)"},{"issue":"2","key":"1093_CR24","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1007\/s10115-016-0944-x","volume":"50","author":"J Tahmoresnezhad","year":"2017","unstructured":"Tahmoresnezhad, J., Hashemi, S.: Visual domain adaptation via transfer feature learning. Knowl. Inf. Syst. 50(2), 585 (2017)","journal-title":"Knowl. Inf. Syst."},{"issue":"2","key":"1093_CR25","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","volume":"22","author":"SJ Pan","year":"2011","unstructured":"Pan, S.J., Tsang, I.W., Kwok, J.T., Yang, Q.: Domain adaptation via transfer component analysis. IEEE Trans. Neural Netw. 22(2), 199 (2011)","journal-title":"IEEE Trans. Neural Netw."},{"key":"1093_CR26","first-page":"224","volume":"4702","author":"S Satpal","year":"2007","unstructured":"Satpal, S., Sarawagi, S.: Domain adaptation of conditional probability models via feature subsetting. PKDD 4702, 224 (2007)","journal-title":"PKDD"},{"key":"1093_CR27","unstructured":"Long, M., Wang, J., Ding, G., Sun, J., Yu, P.S.: Proceedings of the IEEE international conference on computer vision pp. 2200\u20132207 (2013)"},{"key":"1093_CR28","unstructured":"Long, M., Wang, J., Ding, G., Sun, J., Yu, P.S.: Proceedings of the IEEE conference on computer vision and pattern recognition pp. 1410\u20131417 (2014)"},{"key":"1093_CR29","unstructured":"Gong, B., Grauman, K., Sha, F.: International Conference on Machine Learning pp. 222\u2013230 (2013)"},{"key":"1093_CR30","unstructured":"Jiang, J.: A literature survey on domain adaptation of statistical classifiers. 3, 1\u201312 (2008). http:\/\/sifaka.cs.uiuc.edu\/jiang4\/domainadaptation\/survey"},{"key":"1093_CR31","unstructured":"Aljundi, R., Emonet, R., Muselet, D., Sebban, M.: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp. 56\u201363 (2015)"},{"key":"1093_CR32","unstructured":"Duan, L., Tsang, I.W., Xu, D., Chua, T.S.: Proceedings of the 26th Annual International Conference on Machine Learning pp. 289\u2013296 (2009)"},{"key":"1093_CR33","unstructured":"Duan, L., Tsang, I.W., Xu, D., Maybank, S.J.: Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on pp. 1375\u20131381 (2009)"},{"issue":"5","key":"1093_CR34","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1109\/TPAMI.2009.57","volume":"32","author":"L Bruzzone","year":"2010","unstructured":"Bruzzone, L., Marconcini, M.: Domain adaptation problems: a DASVM classification technique and a circular validation strategy. IEEE Trans. Pattern Anal. Mach. Intell. 32(5), 770 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"1093_CR35","doi-asserted-by":"publisher","first-page":"1076","DOI":"10.1109\/TKDE.2013.111","volume":"26","author":"M Long","year":"2014","unstructured":"Long, M., Wang, J., Ding, G., Pan, S.J., Philip, S.Y.: Adaptation regularization: a general framework for transfer learning. IEEE Trans. Knowl. Data Eng. 26(5), 1076 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"1093_CR36","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.neucom.2015.03.020","volume":"165","author":"M Gheisari","year":"2015","unstructured":"Gheisari, M., Baghshah, M.S.: Unsupervised domain adaptation via representation learning and adaptive classifier learning. Neurocomputing 165, 300 (2015)","journal-title":"Neurocomputing"},{"key":"1093_CR37","doi-asserted-by":"crossref","unstructured":"Zhang, K., Gong, M., Sch\u00f6lkopf, B.: Multi-source domain adaptation: A causal view. In: Twentyninth AAAI conference on artificial intelligence, pp. 3150\u20133157 (2015)","DOI":"10.1609\/aaai.v29i1.9542"},{"key":"1093_CR38","unstructured":"Ding, Z., Fu, Y.: Data Mining (ICDM), 2014 IEEE International Conference on pp. 110\u2013119 (2014)"},{"issue":"2","key":"1093_CR39","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1109\/TNNLS.2016.2618765","volume":"29","author":"Z Ding","year":"2018","unstructured":"Ding, Z., Shao, M., Fu, Y.: Incomplete multisource transfer learning. IEEE Trans. Neural. Netw. Learn. Syst. 29(2), 310 (2018)","journal-title":"IEEE Trans. Neural. Netw. Learn. Syst."},{"key":"1093_CR40","doi-asserted-by":"crossref","unstructured":"Ding, Z., Fu, Y.: Robust multi-view subspace learning through dual low-rank decompositions. In: Thirtieth AAAI conference on artificial intelligence, pp. 1181\u20131187 (2016)","DOI":"10.1609\/aaai.v30i1.10148"},{"key":"1093_CR41","unstructured":"Ding, Z., Shao, M., Fu, Y.: Neural Networks (IJCNN), 2016 International Joint Conference on pp. 2188\u20132195 (2016)"},{"key":"1093_CR42","unstructured":"Liu, H., Shao, M., Fu, Y.: Data Mining (ICDM), 2016 IEEE 16th International Conference on pp. 1059\u20131064 (2016)"},{"key":"1093_CR43","unstructured":"Wang, T., Huan, J., Zhu, M.: in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) (IEEE, 2019), pp. 367\u2013375"},{"key":"1093_CR44","unstructured":"Lin, J., Ward, R., Wang, Z.J.: in 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) (IEEE, 2018), pp. 1\u20135"},{"key":"1093_CR45","doi-asserted-by":"publisher","first-page":"14347","DOI":"10.1109\/ACCESS.2017.2720965","volume":"5","author":"R Zhang","year":"2017","unstructured":"Zhang, R., Tao, H., Wu, L., Guan, Y.: Transfer learning with neural networks for bearing fault diagnosis in changing working conditions. IEEE Access 5, 14347 (2017)","journal-title":"IEEE Access"},{"key":"1093_CR46","unstructured":"Jolliffe, I.: Principal component analysis. Springer Series in Statistics. Springer New York (2006). https:\/\/books.google.com\/books?id=6ZUMBwAAQBAJ"},{"key":"1093_CR47","unstructured":"Welling, M.: Fisher linear discriminant analysis. Department of Computer Science, University of Toronto. Technical Report (2005). https:\/\/www.ics.uci.edu\/~welling\/teaching\/273ASpring09\/Fisher-LDA.pdf"},{"issue":"02","key":"1093_CR48","doi-asserted-by":"publisher","first-page":"1651003","DOI":"10.1142\/S0218001416510034","volume":"30","author":"J Tahmoresnezhad","year":"2016","unstructured":"Tahmoresnezhad, J., Hashemi, S.: An efficient yet effective random partitioning and feature weighting approach for transfer learning. Intern. J. Pattern Recognit. Artif. Intell. 30(02), 1651003 (2016)","journal-title":"Intern. J. Pattern Recognit. Artif. Intell."},{"issue":"14","key":"1093_CR49","doi-asserted-by":"publisher","first-page":"e49","DOI":"10.1093\/bioinformatics\/btl242","volume":"22","author":"KM Borgwardt","year":"2006","unstructured":"Borgwardt, K.M., Gretton, A., Rasch, M.J., Kriegel, H.P., Sch\u00f6lkopf, B., Smola, A.J.: Integrating structured biological data by kernel maximum mean discrepancy. Bioinformatics 22(14), e49 (2006)","journal-title":"Bioinformatics"},{"key":"1093_CR50","first-page":"193","volume":"39","author":"J Tahmoresnezhad","year":"2015","unstructured":"Tahmoresnezhad, J., Hashemi, S.: A generalized kernel-based random $$k$$-samplesets method for transfer learning. Iran. J. Sci. Technol. Trans. Electr. Eng. 39, 193 (2015)","journal-title":"Iran. J. Sci. Technol. Trans. Electr. Eng."},{"issue":"Nov","key":"1093_CR51","first-page":"2399","volume":"7","author":"M Belkin","year":"2006","unstructured":"Belkin, M., Niyogi, P., Sindhwani, V.: Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res. 7(Nov), 2399 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"1093_CR52","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1109\/TIP.2015.2510498","volume":"25","author":"Y Xu","year":"2016","unstructured":"Xu, Y., Fang, X., Wu, J., Li, X., Zhang, D.: Discriminative transfer subspace learning via low-rank and sparse representation. IEEE Trans. Image Process. 25(2), 850 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"1093_CR53","doi-asserted-by":"publisher","first-page":"2510","DOI":"10.1016\/j.patcog.2013.02.011","volume":"46","author":"CV Dinh","year":"2013","unstructured":"Dinh, C.V., Duin, R.P., Piqueras-Salazar, I., Loog, M.: FIDOS: a generalized Fisher based feature extraction method for domain shift. Pattern Recognit. 46(9), 2510 (2013)","journal-title":"Pattern Recognit."}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01093-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-020-01093-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01093-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,3]],"date-time":"2023-10-03T01:26:30Z","timestamp":1696296390000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-020-01093-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,27]]},"references-count":53,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["1093"],"URL":"https:\/\/doi.org\/10.1007\/s00138-020-01093-2","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6,27]]},"assertion":[{"value":"5 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"44"}}