{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T13:26:12Z","timestamp":1758893172296,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031683084"},{"type":"electronic","value":"9783031683091"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-68309-1_17","type":"book-chapter","created":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T14:02:25Z","timestamp":1723903345000},"page":"207-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Label Embedding Algorithm Based on\u00a0Maximizing Normalized Cross-Covariance Operator"],"prefix":"10.1007","author":[{"given":"Yulin","family":"Xue","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchen","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,18]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41111-8","volume-title":"Multilabel Classification: Problem Analysis, Metrics and Techniques","author":"F Charte","year":"2016","unstructured":"Charte, F., Rivera, A.J., Del Jesus, M.J.: Multilabel Classification: Problem Analysis, Metrics and Techniques. Springer, Switzerland (2016). https:\/\/doi.org\/10.1007\/978-3-319-41111-8"},{"key":"17_CR2","unstructured":"Chen, Y.N., Lin, H.T.: Feature-aware label space dimension reduction for multi-label classification. In: 25th Annual Conference on Neural Information Processing Systems, pp. 1529\u20131537. MIT Press, Cambridge (2012)"},{"key":"17_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2023.105293","volume":"202","author":"TKM Djonguet","year":"2024","unstructured":"Djonguet, T.K.M., Nkiet, G.M.: An independence test for functional variables based on kernel normalized cross-covariance operator. J. Multivariate Anal. 202, 105293 (2024)","journal-title":"J. Multivariate Anal."},{"key":"17_CR4","unstructured":"Fukumizu, K., Gretton, A., Sun, X., Scholkopf, B.: Kernel measures of conditional dependence. In: 20th Annual Conference on Neural Information Processing Systems, pp. 489\u2013496. MIT Press, Cambridge (2007)"},{"key":"17_CR5","doi-asserted-by":"publisher","unstructured":"Gretton, A., Bousquet, O., Smola, A., Scholkopf, B.: Measuring statistical dependence with hilbert-schmidt norms. In: Jain, S., Simon, H.U., Tomita, E. (eds.) ALT 2005, pp. 63\u201377. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11564089_7","DOI":"10.1007\/11564089_7"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Jain, H., Prabhu, Y., Varma, M.: Extreme multi-label loss functions for recommendation, tagging, ranking & other missing label applications. In: 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 935\u2013944. ACM Press, New York (2016)","DOI":"10.1145\/2939672.2939756"},{"key":"17_CR7","doi-asserted-by":"publisher","unstructured":"Li, D., Li, Y., Li, J., Xu, J.: A label embedding method via conditional covariance maximization for multi-label classification. In: Strauss, C., Amagasa, T., Kotsis, G., Tjoa, A.M., Khalil, I. (eds.) DEXA 2023, pp. 393\u2013407. Springer, Heidelberg (2023). https:\/\/doi.org\/10.1007\/978-3-031-39821-6_32","DOI":"10.1007\/978-3-031-39821-6_32"},{"key":"17_CR8","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1007\/s11063-020-10331-7","volume":"52","author":"Y Li","year":"2020","unstructured":"Li, Y., Yang, Y.: Label embedding for multi-label classification via dependence maximization. Neural Process. Lett. 52, 1651\u20131674 (2020)","journal-title":"Neural Process. Lett."},{"key":"17_CR9","unstructured":"Lin, Z., Ding, G., Hu, M., Wang, J.: Multi-label classification via feature-aware implicit label space encoding. In: 31st International Conference on Machine Learning, pp. 325\u2013333. MLResearch Press, Webside (2014)"},{"issue":"11","key":"17_CR10","doi-asserted-by":"publisher","first-page":"7955","DOI":"10.1109\/TPAMI.2021.3119334","volume":"44","author":"W Liu","year":"2022","unstructured":"Liu, W., Wang, H., Shen, X., Tsang, I.W.: The emerging trends of multi-label learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11), 7955\u20137974 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"17_CR11","doi-asserted-by":"publisher","unstructured":"Peng, T., Li, J., Xu, J.: Label selection algorithm based on iteration column subset selection for multi-label classification. In: Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A.M., Khalil, I. (eds.) DEXA 2022, pp. 287\u2013301. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-031-12423-5_22","DOI":"10.1007\/978-3-031-12423-5_22"},{"issue":"9","key":"17_CR12","doi-asserted-by":"publisher","first-page":"2508","DOI":"10.1162\/NECO_a_00320","volume":"24","author":"F Tai","year":"2012","unstructured":"Tai, F., Lin, H.T.: Multilabel classification with principal label space transformation. Neural Comput. 24(9), 2508\u20132542 (2012)","journal-title":"Neural Comput."},{"key":"17_CR13","doi-asserted-by":"publisher","unstructured":"Wang, X., Li, J., Xu, J.: A label embedding method for multi-label classification via exploiting local label correlations. In: Gedeon, T., Wong, K., Lee, M. (eds.) ICONIP 2019, pp. 168\u2013180. Springer, Heidelberg (2019). https:\/\/doi.org\/10.1007\/978-3-030-36802-9_19","DOI":"10.1007\/978-3-030-36802-9_19"},{"key":"17_CR14","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.ins.2022.10.093","volume":"617","author":"J Xu","year":"2022","unstructured":"Xu, J., Lu, W., Li, J., Yuan, H.: Dependency maximization forward feature selection algorithms based on normalized cross-covariance operator and its approximated form for high-dimensional data. Inf. Sci. 617, 416\u2013434 (2022)","journal-title":"Inf. Sci."},{"issue":"7","key":"17_CR15","doi-asserted-by":"publisher","first-page":"3510","DOI":"10.1109\/TCYB.2019.2909779","volume":"51","author":"J Xu","year":"2021","unstructured":"Xu, J., Mao, Z.H.: Multilabel feature extraction algorithm via maximizing approximated and symmetrized normalized cross-covariance operator. IEEE Trans. Cybern. 51(7), 3510\u20133523 (2021)","journal-title":"IEEE Trans. Cybern."},{"key":"17_CR16","unstructured":"Yamada, M., Sugiyama, M.: Cross-domain object matching with model selection. In: 14th International Conference on Artificial Intelligence and Statistics, pp. 807\u2013815. MLResearch Press, Webside (2011)"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-68309-1_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T14:04:22Z","timestamp":1723903462000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-68309-1_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031683084","9783031683091"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-68309-1_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"18 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Naples","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/dexa2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}