{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T10:12:48Z","timestamp":1780567968556,"version":"3.54.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030341121","type":"print"},{"value":"9783030341138","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-34113-8_35","type":"book-chapter","created":{"date-parts":[[2019,11,27]],"date-time":"2019-11-27T17:03:47Z","timestamp":1574874227000},"page":"421-431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Dynamic Multi-label Learning with Multiple New Labels"],"prefix":"10.1007","author":[{"given":"Lun","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wentao","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,11,28]]},"reference":[{"issue":"9","key":"35_CR1","doi-asserted-by":"publisher","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","volume":"37","author":"MR Boutell","year":"2004","unstructured":"Boutell, M.R., Luo, J., Shen, X., Brown, C.M.: Learning multilabel scene classification. Pattern Recogn. 37(9), 1757\u20131771 (2004)","journal-title":"Pattern Recogn."},{"issue":"1","key":"35_CR2","doi-asserted-by":"publisher","first-page":"2291","DOI":"10.1016\/j.artint.2011.10.002","volume":"176","author":"Z-H Zhou","year":"2012","unstructured":"Zhou, Z.-H., Zhang, M.-L., Huang, S.-J., Li, Y.-F.: Multi-instance multi-label learning. Artif. Intell. 176(1), 2291\u20132320 (2012)","journal-title":"Artif. Intell."},{"key":"35_CR3","unstructured":"Li, Y., Ji, S., Kumar, S., Ye, J., Zhou, Z.: Drosophila gene expression pattern annotation through multi-instance multi-label learning. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, CA, pp. 1445\u20131450 (2009)"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Zhou, Z.-H., Zhang, M.-L.: Multi-instance multi-label learning with application to scene classification. In: Advances in Neural Information Processing Systems 19, pp. 1609\u20131616. MIT Press, Cambridge (2007)","DOI":"10.7551\/mitpress\/7503.003.0206"},{"issue":"2","key":"35_CR5","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1109\/TPAMI.2018.2794446","volume":"41","author":"C Li","year":"2019","unstructured":"Li, C., Wei, F., Dong, W., Liu, Q., Wang, X., Zhang, X.: Dynamic structure embedded online multiple-output regression for streaming data. IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI) 41(2), 323\u2013336 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI)"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Nguyen, N.: A new SVM approach to multi-instance multi-label learning. In: Proceedings of the 10th IEEE International Conference on Data Mining, Sydney, Australia, pp. 384\u2013392 (2010)","DOI":"10.1109\/ICDM.2010.109"},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Li, C., Wei, F., Yan, J., Dong, W., Liu, Q., Zha, H.: Self-paced multi-task learning. In: AAAI (2016)","DOI":"10.1609\/aaai.v31i1.10847"},{"issue":"10","key":"35_CR8","doi-asserted-by":"publisher","first-page":"1901","DOI":"10.1109\/TKDE.2018.2810872","volume":"30","author":"Y Zhu","year":"2018","unstructured":"Zhu, Y., Ting, K.M., Zhou, Z.-H.: Multi-label learning with emerging new labels. IEEE Trans. Knowl. Data Eng. 30(10), 1901\u20131914 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"35_CR9","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD (1996)"},{"issue":"11","key":"35_CR10","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.1109\/TCYB.2014.2376517","volume":"45","author":"C Li","year":"2014","unstructured":"Li, C., Liu, Q., Dong, W., Zhu, X., Liu, J., Lu, H.: Human age estimation based on locality and ordinal information. IEEE Trans. Cybern. 45(11), 2522\u20132534 (2014)","journal-title":"IEEE Trans. Cybern."},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation forest. In: Proceeding ICDM 2008 Proceedings of the 8th IEEE International Conference on Data Mining, pp. 413\u2013422 (2008)","DOI":"10.1109\/ICDM.2008.17"},{"key":"35_CR12","unstructured":"Ruping, S.: Incremental learning with support vector machines. In: Proceedings of the 1st IEEE International Conference on Data Mining, pp. 641\u2013642 (2001)"},{"key":"35_CR13","unstructured":"Li, C., Liu, Q., Liu, J., Lu, H.: Learning ordinal discriminative features for age estimation. In: IEEE Computer Vision and Pattern Recognition (2012)"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Gao, S., Wu, W., Lee, C., Chua, T.: A MFoM learning approach to robust multiclass multi-label text categorization. In: ICML (2004)","DOI":"10.1145\/1015330.1015361"},{"issue":"12","key":"35_CR15","doi-asserted-by":"publisher","first-page":"6025","DOI":"10.1109\/TIP.2018.2864920","volume":"27","author":"L Song","year":"2018","unstructured":"Song, L., et al.: A deep multi-modal CNN for multi-instance multi-label image classification. IEEE Trans. Image Process. 27(12), 6025\u20136038 (2018)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"35_CR16","doi-asserted-by":"publisher","first-page":"1551","DOI":"10.1109\/TNNLS.2014.2339100","volume":"26","author":"C Li","year":"2015","unstructured":"Li, C., Liu, Q., Liu, J., Lu, H.: Ordinal distance metric learning for image ranking. IEEE Trans. Neural Netw. Learn. Syst. 26(7), 1551\u20131559 (2015)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"35_CR17","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1007\/s10994-017-5689-6","volume":"107","author":"S Burkhardt","year":"2018","unstructured":"Burkhardt, S., Kramer, S.: Online multi-label dependency topic models for text classification. Mach. Learn. 107(5), 859\u2013886 (2018)","journal-title":"Mach. Learn."},{"issue":"6","key":"35_CR18","doi-asserted-by":"publisher","first-page":"2660","DOI":"10.1109\/TNNLS.2017.2697767","volume":"29","author":"C Li","year":"2018","unstructured":"Li, C., Wei, F., Yan, J., Zhang, X., Liu, Q., Zha, H.: A self-paced regularization framework for multilabel learning. IEEE Trans. Neural Netw. Learn. Syst. 29(6), 2660\u20132666 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"9","key":"35_CR19","doi-asserted-by":"publisher","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","volume":"37","author":"MR Boutell","year":"2004","unstructured":"Boutell, M.R., Luo, J., Shen, X., Brown, C.M.: Learning multi-label scene classification. Pattern Recogn. 37(9), 1757\u20131771 (2004)","journal-title":"Pattern Recogn."},{"issue":"8","key":"35_CR20","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1109\/TKDE.2013.39","volume":"26","author":"M Zhang","year":"2014","unstructured":"Zhang, M., Zhou, Z.: A review on multi-label learning algorithms. IEEE Trans. Knowl. Data Eng. 26(8), 1819\u20131837 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"35_CR21","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s11704-017-7031-7","volume":"12","author":"ML Zhang","year":"2018","unstructured":"Zhang, M.L., Li, Y.K., Liu, X.Y., et al.: Binary relevance for multi-label learning: an overview. Front. Comput. Sci. 12(2), 191\u2013202 (2018)","journal-title":"Front. Comput. Sci."},{"issue":"2","key":"35_CR22","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s10994-008-5064-8","volume":"73","author":"J F\u00fcrnkranz","year":"2008","unstructured":"F\u00fcrnkranz, J., H\u00fcllermeier, E., Menc\u00eda, E.L., Brinker, K.: Multilabel classification via calibrated label ranking. Mach. Learn. 73(2), 133\u2013153 (2008)","journal-title":"Mach. Learn."},{"issue":"3","key":"35_CR23","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/s10994-011-5256-5","volume":"85","author":"J Read","year":"2011","unstructured":"Read, J., Pfahringer, B., Holmes, G., Frank, E.: Classifier chains for multi-label classification. Mach. Learn. 85(3), 333\u2013359 (2011)","journal-title":"Mach. Learn."},{"key":"35_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/978-3-642-34156-4_29","volume-title":"Advances in Intelligent Data Analysis XI","author":"J Read","year":"2012","unstructured":"Read, J., Bifet, A., Pfahringer, B., Holmes, G.: Batch-incremental versus instance-incremental learning in dynamic and evolving data. In: Hollm\u00e9n, J., Klawonn, F., Tucker, A. (eds.) IDA 2012. LNCS, vol. 7619, pp. 313\u2013323. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-34156-4_29"},{"key":"35_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, B., Su, J., Xu, X.: A class-incremental learning method for multi-class support vector machines in text classification. In: 2006 International Conference on Machine Learning and Cybernetics, Dalian, China, pp. 2581\u20132585 (2006)","DOI":"10.1109\/ICMLC.2006.258853"},{"key":"35_CR26","doi-asserted-by":"crossref","unstructured":"Read, J., Puurula, A., Bifet, A.: Multi-label classification with meta-labels. In: 2014 IEEE International Conference on Data Mining, Shenzhen, pp. 941\u2013946 (2014)","DOI":"10.1109\/ICDM.2014.38"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34113-8_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:06:00Z","timestamp":1693526760000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-34113-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030341121","9783030341138"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34113-8_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"28 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"23 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.csig.org.cn\/detail\/2669","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}