{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:23:17Z","timestamp":1775578997166,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"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":["Appl Intell"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1007\/s10489-021-03014-w","type":"journal-article","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T05:02:42Z","timestamp":1645160562000},"page":"14905-14917","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Online unsupervised cross-view discrete hashing for large-scale retrieval"],"prefix":"10.1007","volume":"52","author":[{"given":"Xuan","family":"Li","sequence":"first","affiliation":[]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yun-Hao","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Shirui","family":"Pan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8494-4532","authenticated-orcid":false,"given":"Xiaobo","family":"Shen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,18]]},"reference":[{"key":"3014_CR1","doi-asserted-by":"crossref","unstructured":"Cakir F, He K, Bargal SA, Sclaroff S (2017) Mihash: Online hashing with mutual information. In: Proceedings of IEEE International Conference on Computer Vision, pp 437\u2013445","DOI":"10.1109\/ICCV.2017.55"},{"key":"3014_CR2","doi-asserted-by":"crossref","unstructured":"Cakir F, Sclaroff S (2015) Online supervised hashing. In: Proceedings of 2015 IEEE International Conference on Image Processing, pp 2606\u20132610","DOI":"10.1109\/ICIP.2015.7351274"},{"issue":"1","key":"3014_CR3","doi-asserted-by":"publisher","first-page":"341","DOI":"10.3390\/make1010020","volume":"1","author":"G Chao","year":"2019","unstructured":"Chao G, Luo Y, Ding W (2019) Recent advances in supervised dimension reduction: A survey. Mach Learn Knowl Extract 1(1):341\u2013358","journal-title":"Mach Learn Knowl Extract"},{"issue":"7","key":"3014_CR4","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1109\/TNNLS.2015.2442256","volume":"27","author":"G Chao","year":"2016","unstructured":"Chao G, Sun S (2016) Alternative multiview maximum entropy discrimination. IEEE Trans Neural Netw Learn Syst 27(7):1445\u20131456","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"3014_CR5","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.inffus.2018.03.002","volume":"45","author":"G Chao","year":"2019","unstructured":"Chao G, Sun S (2019) Semi-supervised multi-view maximum entropy discrimination with expectation laplacian regularization. Inf Fusion 45:296\u2013306","journal-title":"Inf Fusion"},{"key":"3014_CR6","unstructured":"Chao G, Sun S, Bi J (2017) A survey on multi-view clustering. arXiv:1712.06246"},{"issue":"3","key":"3014_CR7","first-page":"1089","volume":"33","author":"X Chen","year":"2021","unstructured":"Chen X, Yang H, Zhao S, King I, Lyu MR (2021) Making online sketching hashing even faster. IEEE Trans Knowl Data Eng 33(3):1089\u20131101","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3014_CR8","doi-asserted-by":"crossref","unstructured":"Chua TS, Tang J, Hong R, Li H, Luo Z, Zheng Y (2009) Nus-wide: a real-world web image database from national university of singapore. In: Proceedings of the 8th ACM International Conference on Image and Video Retrieval, pp 1\u20139","DOI":"10.1145\/1646396.1646452"},{"key":"3014_CR9","doi-asserted-by":"crossref","unstructured":"Ding G, Guo Y, Zhou J (2014) Collective matrix factorization hashing for multimodal data. In: Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, ppp 2083\u20132090","DOI":"10.1109\/CVPR.2014.267"},{"issue":"12","key":"3014_CR10","doi-asserted-by":"publisher","first-page":"2916","DOI":"10.1109\/TPAMI.2012.193","volume":"35","author":"Y Gong","year":"2013","unstructured":"Gong Y, Lazebnik S, Gordo A, Perronnin F (2013) Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans Pattern Anal Mach Intell 35 (12):2916\u20132929","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3014_CR11","doi-asserted-by":"crossref","unstructured":"Huiskes MJ, Lew MS (2008) The mir flickr retrieval evaluation. In: Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, pp 39\u201343","DOI":"10.1145\/1460096.1460104"},{"key":"3014_CR12","doi-asserted-by":"crossref","unstructured":"Leng C, Wu J, Cheng J, Bai X, Lu H (2015) Online sketching hashing. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp 2503\u20132511","DOI":"10.1109\/CVPR.2015.7298865"},{"issue":"10","key":"3014_CR13","doi-asserted-by":"publisher","first-page":"6383","DOI":"10.1007\/s00521-019-04145-5","volume":"32","author":"C Li","year":"2020","unstructured":"Li C, Zhang H, Chu D, Xu X (2020) SRTM: a supervised relation topic model for multi-classification on large-scale document network. Neural Comput Appl 32(10):6383\u20136392","journal-title":"Neural Comput Appl"},{"key":"3014_CR14","doi-asserted-by":"crossref","unstructured":"Lin M, Ji R, Liu H, Wu Y (2018) Supervised online hashing via hadamard codebook learning. In: Proceedings of 2018 ACM Multimedia Conference on Multimedia Conference. Association for Computing Machinery, pp 1635\u20131643","DOI":"10.1145\/3240508.3240519"},{"key":"3014_CR15","doi-asserted-by":"crossref","unstructured":"Lin Z, Ding G, Mingqing H, Wang J (2015) Semantics-preserving hashing for cross-view retrieval. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp 3864\u20133872","DOI":"10.1109\/CVPR.2015.7299011"},{"issue":"1","key":"3014_CR16","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1109\/TIP.2016.2619262","volume":"26","author":"L Liu","year":"2017","unstructured":"Liu L, Lin Z, Shao L, Shen F, Ding G, Han J (2017) Sequential discrete hashing for scalable cross-modality similarity retrieval. IEEE Trans Image Process 26(1):107\u2013118","journal-title":"IEEE Trans Image Process"},{"key":"3014_CR17","unstructured":"Liu W, Mu C, Kumar S, Chang SF (2014) Discrete graph hashing. In: Proceedings of Advances in Neural Information Processing Systems, vol 27. Annual Conference on Neural Information Processing Systems 2014, pp 3419\u20133427"},{"key":"3014_CR18","doi-asserted-by":"crossref","unstructured":"Lu X, Zhu L, Cheng Z, Li J, Nie X, Zhang H (2019) Flexible online multi-modal hashing for large-scale multimedia retrieval. In: Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery, pp 1129\u20131137","DOI":"10.1145\/3343031.3350999"},{"issue":"8","key":"3014_CR19","doi-asserted-by":"publisher","first-page":"2048","DOI":"10.1109\/TMM.2019.2947358","volume":"22","author":"X Lu","year":"2020","unstructured":"Lu X, Zhu L, Li J, Zhang H, Shen HT (2020) Efficient supervised discrete multi-view hashing for large-scale multimedia search. IEEE Trans Multimed 22(8):2048\u20132060","journal-title":"IEEE Trans Multimed"},{"issue":"9","key":"3014_CR20","doi-asserted-by":"publisher","first-page":"2372","DOI":"10.1109\/TCSVT.2017.2705068","volume":"28","author":"Y Peng","year":"2018","unstructured":"Peng Y, Huang X, Zhao Y (2018) An overview of cross-media retrieval: concepts, methodologies, benchmarks, and challenges. IEEE Trans Circ Syst Video Technol 28(9):2372\u20132385","journal-title":"IEEE Trans Circ Syst Video Technol"},{"key":"3014_CR21","doi-asserted-by":"crossref","unstructured":"Rasiwasia N, Costa Pereira J, Coviello E, Doyle G, Lanckriet GRG, Levy R, Vasconcelos N (2010) A new approach to cross-modal multimedia retrieval. In: Proceedings of the 18th International Conference on Multimedia 2010, pp 251\u2013260","DOI":"10.1145\/1873951.1873987"},{"key":"3014_CR22","doi-asserted-by":"crossref","unstructured":"Shen F, Shen C, Liu W, Tao Shen H (2015) Supervised discrete hashing. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp 37\u201345","DOI":"10.1109\/CVPR.2015.7298598"},{"issue":"5","key":"3014_CR23","first-page":"53:1","volume":"9","author":"X Shen","year":"2018","unstructured":"Shen X, Shen F, Liu L, Yuan Y, Liu W, Sun QS (2018) Multiview discrete hashing for scalable multimedia search. ACM Trans Intell Syst Technolo 9(5):53:1\u201353:21","journal-title":"ACM Trans Intell Syst Technolo"},{"key":"3014_CR24","doi-asserted-by":"crossref","unstructured":"Shen X, Shen F, Sun QS, Yuan YH (2015) Multi-view latent hashing for efficient multimedia search. In: Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, pp 831\u2013834","DOI":"10.1145\/2733373.2806342"},{"issue":"2","key":"3014_CR25","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1109\/TCYB.2017.2786719","volume":"49","author":"S Sun","year":"2019","unstructured":"Sun S, Xie X, Dong C (2019) Multiview learning with generalized eigenvalue proximal support vector machines. IEEE Trans Cybern 49(2):688\u2013697","journal-title":"IEEE Trans Cybern"},{"issue":"7","key":"3014_CR26","doi-asserted-by":"publisher","first-page":"3157","DOI":"10.1109\/TIP.2016.2564638","volume":"25","author":"J Tang","year":"2016","unstructured":"Tang J, Wang K, Shao L (2016) Supervised matrix factorization hashing for cross-modal retrieval. IEEE Trans Image Process 25(7):3157\u20133166","journal-title":"IEEE Trans Image Process"},{"key":"3014_CR27","doi-asserted-by":"crossref","unstructured":"Wang D, Wang Q, An Y, Gao X, Tian Y (2020) Online collective matrix factorization hashing for large-scale cross-media retrieval. In: Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval. Association for Computing Machinery, pp 1409\u20131418","DOI":"10.1145\/3397271.3401132"},{"issue":"12","key":"3014_CR28","doi-asserted-by":"publisher","first-page":"2393","DOI":"10.1109\/TPAMI.2012.48","volume":"34","author":"J Wang","year":"2012","unstructured":"Wang J, Kumar S, Chang SF (2012) Semi-supervised hashing for large-scale search. IEEE Trans Pattern Anal Mach Intell 34(12):2393\u20132406","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"3014_CR29","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/JPROC.2015.2487976","volume":"104","author":"J Wang","year":"2016","unstructured":"Wang J, Liu W, Kumar S, Chang SF (2016) Learning to hash for indexing big data-a survey. Proc IEEE 104(1):34\u201357","journal-title":"Proc IEEE"},{"key":"3014_CR30","unstructured":"Wang J, Shen HT, Song J, Ji J (2014) Hashing for similarity search: A survey. arXiv:1408.2927"},{"key":"3014_CR31","doi-asserted-by":"publisher","first-page":"88369","DOI":"10.1109\/ACCESS.2019.2926303","volume":"7","author":"Z Weng","year":"2019","unstructured":"Weng Z, Zhu Y (2019) Online supervised sketching hashing for large-scale image retrieval. IEEE Access 7:88369\u201388379","journal-title":"IEEE Access"},{"key":"3014_CR32","doi-asserted-by":"crossref","unstructured":"Xie L, Shen J, Zhu L (2016) Online cross-modal hashing for web image retrieval. In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. AAAI Press, pp 294\u2013300","DOI":"10.1609\/aaai.v30i1.9982"},{"key":"3014_CR33","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.neucom.2018.12.004","volume":"332","author":"X Xie","year":"2019","unstructured":"Xie X, Sun S (2019) General multi-view learning with maximum entropy discrimination. Neurocomputing 332:184\u2013192","journal-title":"Neurocomputing"},{"key":"3014_CR34","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.inffus.2020.04.005","volume":"62","author":"X Xie","year":"2020","unstructured":"Xie X, Sun S (2020) General multi-view semi-supervised least squares support vector machines with multi-manifold regularization. Inf Fusion 62:63\u201372","journal-title":"Inf Fusion"},{"issue":"12","key":"3014_CR35","doi-asserted-by":"publisher","first-page":"2401","DOI":"10.1109\/TKDE.2019.2933511","volume":"32","author":"X Xie","year":"2020","unstructured":"Xie X, Sun S (2020) Multi-view support vector machines with the consensus and complementarity information. IEEE Trans Knowl Data Eng 32(12):2401\u20132413","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3014_CR36","doi-asserted-by":"publisher","first-page":"107270","DOI":"10.1016\/j.patcog.2020.107270","volume":"103","author":"Y Xiong","year":"2020","unstructured":"Xiong Y, Xu Y, Shu X (2020) Cross-view hashing via supervised deep discrete matrix factorization. Pattern Recogn 103:107270","journal-title":"Pattern Recogn"},{"issue":"12","key":"3014_CR37","doi-asserted-by":"publisher","first-page":"2531","DOI":"10.1109\/TPAMI.2015.2417578","volume":"37","author":"C Xu","year":"2015","unstructured":"Xu C, Tao D, Xu C (2015) Multi-view intact space learning. IEEE Trans Pattern Anal Mach Intell 37(12):2531\u20132544","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3014_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patcog.2018.12.012","volume":"89","author":"T Yao","year":"2019","unstructured":"Yao T, Wang G, Yan L, Kong X, Su Q, Zhang C, Tian Q (2019) Online latent semantic hashing for cross-media retrieval. Pattern Recogn 89:1\u201311","journal-title":"Pattern Recogn"},{"issue":"1","key":"3014_CR39","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s10489-020-01797-y","volume":"51","author":"B Zhang","year":"2021","unstructured":"Zhang B, Qian J (2021) Autoencoder-based unsupervised clustering and hashing. Appl Intell 51(1):493\u2013505","journal-title":"Appl Intell"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-03014-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-03014-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-03014-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T09:51:45Z","timestamp":1664617905000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-03014-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,18]]},"references-count":39,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["3014"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-03014-w","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,18]]},"assertion":[{"value":"14 November 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}