{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:23:26Z","timestamp":1743125006272,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030295509"},{"type":"electronic","value":"9783030295516"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-29551-6_26","type":"book-chapter","created":{"date-parts":[[2019,8,20]],"date-time":"2019-08-20T12:04:02Z","timestamp":1566302642000},"page":"301-313","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Strict Subspace and Label-Space Structure for Domain Adaptation"],"prefix":"10.1007","author":[{"given":"Ying","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaxin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaomin","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,21]]},"reference":[{"issue":"10","key":"26_CR1","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q., et al.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Wang, H., Nie, F., Huang, H., Ding, C.H.: Dyadic transfer learning for cross-domain image classification. In: International Conference on Computer Vision, vol. 2011, pp. 551\u2013556 (2011)","DOI":"10.1109\/ICCV.2011.6126287"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Gopalan, R., Li, R., Chellappa, R.: Domain adaptation for object recognition: an unsupervised approach. In: International Conference on Computer Vision, vol. 2011, pp. 999\u20131006 (2011)","DOI":"10.1109\/ICCV.2011.6126344"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Qui, Q., Patel, V.M., Turage, P.K., Chellappa, R.: Domain adaptive dictionary learning. In: European Conference on Computer Vision, vol. 2012, pp. 631\u2013645 (2012)","DOI":"10.1007\/978-3-642-33765-9_45"},{"key":"26_CR5","unstructured":"Chen, M., Xu, Z., Sha, F.: Marginalized denoising autoencoders for domain adaptation. In: International Conference on Machine Learning, vol. 2012, pp. 1627\u20131634 (2012)"},{"key":"26_CR6","first-page":"451","volume":"2016","author":"B Chidlovskii","year":"2016","unstructured":"Chidlovskii, B., Clinchant, S., Csurka, G.: Domain adaptation in the absence of source domain data. Knowl. Discov. Data Min. 2016, 451\u2013460 (2016)","journal-title":"Knowl. Discov. Data Min."},{"issue":"2","key":"26_CR7","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1109\/TPAMI.2013.123","volume":"36","author":"M Yamada","year":"2014","unstructured":"Yamada, M., Sigal, L., Raptis, M.: Covariate shift adaptation for discriminative 3D pose estimation. IEEE Trans. Pattern Anal. Mach. Intell. 36(2), 235\u2013247 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"26_CR8","first-page":"2731","volume":"29","author":"S Ying","year":"2018","unstructured":"Ying, S., Wen, Z., Shi, J., Peng, Y., Qiao, J.: Manifold preserving: an intrinsic approach for semisupervised distance metric learning. IEEE Trans. Neural Netw. Learn. Syst. 29(7), 2731\u20132742 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Yang, C., Zhang, L., Lu, H., Ruan, X., Yang, M.H.: Saliency detection via graph-based manifold ranking. In: Computer Vision and Pattern Recognition, vol. 2013, pp. 3166\u20133173 (2013)","DOI":"10.1109\/CVPR.2013.407"},{"key":"26_CR10","unstructured":"Luo, L., Wang, X., Hu, S., Wang, C., Chen, L.: Close yet distinctive domain adaptation. In: Computer Vision and Pattern Recognization (2017)"},{"issue":"2","key":"26_CR11","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 Networks 22(2), 199\u2013210 (2011)","journal-title":"IEEE Trans. Neural Networks"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Long, M., Wang, J., Ding, G., Sun, J., Yu, P.S.: Transfer feature learning with joint distribution adaptation. In: International Conference on Computer Vision, vol. 2013, pp. 2200\u20132207 (2013)","DOI":"10.1109\/ICCV.2013.274"},{"key":"26_CR13","unstructured":"Gong, B., Shi, Y., Sha, F., Grauman, K.: Geodesic flow kernel for unsupervised domain adaptation. In: Computer Vision and Pattern Recognition, vol. 2012, pp. 2066\u20132073 (2012)"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Li, Y., Cheng, L., Peng Y., Wen Z., Ying S.: Manifold alignment and distribution adaptation for domain adaptation. In: Accepted by International Conference on Multimedia and Expo (2019)","DOI":"10.1109\/ICME.2019.00124"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Fernando, B., Habrard, A., Sebban, M., Tuytelaars, T.: Unsupervised visual domain adaptation using subspace alignment. In: International Conference on Computer Vision, vol. 2013, pp. 2960\u20132967 (2013)","DOI":"10.1109\/ICCV.2013.368"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Sun, B., Saenko, K.: Subspace distribution alignment for unsupervised domain adaptation. In: British Machine Vision Conference (2015)","DOI":"10.5244\/C.29.24"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, J., Li, W., Ogunbona, P.: Joint geometrical and statistical alignment for visual domain adaptation. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.547"},{"key":"26_CR18","unstructured":"Long, M., Cao, Y., Wang, J.: Learning transferable features with deep adaptation networks. In: International Conference on Machine Learning, pp. 97\u2013105 (2015)"},{"key":"26_CR19","unstructured":"Long, M., Zhu, H., Wang, J., Jordan, M. I.: Deep transfer learning with joint adaptation networks. In: International Conference on Machine Learning, pp. 2208\u20132217 (2017)"},{"issue":"11","key":"26_CR20","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"YL Lecun","year":"1998","unstructured":"Lecun, Y.L., Bottou, L., Bengio, Y.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"5","key":"26_CR21","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1109\/34.291440","volume":"16","author":"JJ Hull","year":"1994","unstructured":"Hull, J.J.: A database for handwritten text recognition research. IEEE Trans. Pattern Anal. Mach. Intell. 16(5), 550\u2013554 (1994)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29551-6_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,22]],"date-time":"2020-02-22T09:05:24Z","timestamp":1582362324000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29551-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030295509","9783030295516"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29551-6_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"21 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ksem.conferences.academy\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"240","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}