{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T00:55:48Z","timestamp":1760576148317,"version":"build-2065373602"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T00:00:00Z","timestamp":1712966400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T00:00:00Z","timestamp":1712966400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61603159"],"award-info":[{"award-number":["61603159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Yunnan Provincial Major Science and Technology Special Plan Projects","award":["202002AD080001"],"award-info":[{"award-number":["202002AD080001"]}]},{"name":"Yunnan Foundation Research Projects","award":["202101AT070438"],"award-info":[{"award-number":["202101AT070438"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1007\/s13042-024-02131-5","type":"journal-article","created":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T03:02:21Z","timestamp":1712977341000},"page":"6977-6995","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust zero-shot discrete hashing with noisy labels for cross-modal retrieval"],"prefix":"10.1007","volume":"16","author":[{"given":"Kailing","family":"Yong","sequence":"first","affiliation":[]},{"given":"Zhenqiu","family":"Shu","sequence":"additional","affiliation":[]},{"given":"Hongbin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhengtao","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,13]]},"reference":[{"key":"2131_CR1","doi-asserted-by":"crossref","unstructured":"Shen F, Shen C, Liu W, Shen HT (2015) Supervised discrete hashing. In: Proceedings of the IEEE Conference on computer vision and pattern recognition, pp 37\u201345","DOI":"10.1109\/CVPR.2015.7298598"},{"issue":"12","key":"2131_CR2","doi-asserted-by":"publisher","first-page":"11588","DOI":"10.1109\/TVT.2018.2890405","volume":"68","author":"F Kou","year":"2019","unstructured":"Kou F, Du J, Cui W, Shi L, Cheng P, Chen J, Li J (2019) Common semantic representation method based on object attention and adversarial learning for cross-modal data in iov. IEEE Trans Veh Technol 68(12):11588\u201311598","journal-title":"IEEE Trans Veh Technol"},{"issue":"11","key":"2131_CR3","doi-asserted-by":"publisher","first-page":"14201","DOI":"10.1007\/s10489-022-04189-6","volume":"53","author":"Z Shu","year":"2023","unstructured":"Shu Z, Li L, Yu J, Zhang D, Yu Z, Wu XJ (2023) Online supervised collective matrix factorization hashing for cross-modal retrieval. Appl Intell 53(11):14201\u201314218","journal-title":"Appl Intell"},{"issue":"8","key":"2131_CR4","doi-asserted-by":"publisher","first-page":"4393","DOI":"10.1002\/int.22723","volume":"37","author":"L Shi","year":"2022","unstructured":"Shi L, Du J, Cheng G, Liu X, Xiong Z, Luo J (2022) Cross-media search method based on complementary attention and generative adversarial network for social networks. Int J Intell Syst 37(8):4393\u20134416","journal-title":"Int J Intell Syst"},{"key":"2131_CR5","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1016\/j.inffus.2022.11.017","volume":"91","author":"L Shi","year":"2023","unstructured":"Shi L, Luo J, Zhu C, Kou F, Cheng G, Liu X (2023) A survey on cross-media search based on user intention understanding in social networks. Inform Fusion 91:566\u2013581","journal-title":"Inform Fusion"},{"key":"2131_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2022.103743","volume":"130","author":"J Yu","year":"2022","unstructured":"Yu J, Huang W, Li Z, Shu Z, Zhu L (2022) Hadamard matrix-guided multi-modal hashing for multi-modal retrieval. Digital Signal Process 130:103743","journal-title":"Digital Signal Process"},{"issue":"2","key":"2131_CR7","first-page":"1185","volume":"35","author":"H Li","year":"2021","unstructured":"Li H, Zhang C, Jia X, Gao Y, Chen C (2021) Adaptive label correlation based asymmetric discrete hashing for cross-modal retrieval. IEEE Trans Knowl Data Eng 35(2):1185\u20131199","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2131_CR8","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1016\/j.ins.2022.07.095","volume":"609","author":"Z Shu","year":"2022","unstructured":"Shu Z, Bai Y, Zhang D, Yu J, Yu Z, Wu XJ (2022) Specific class center guided deep hashing for cross-modal retrieval. Inf Sci 609:304\u2013318","journal-title":"Inf Sci"},{"issue":"9","key":"2131_CR9","doi-asserted-by":"publisher","first-page":"6665","DOI":"10.1007\/s00521-022-08006-6","volume":"35","author":"Z Shu","year":"2023","unstructured":"Shu Z, Yong K, Zhang D, Yu J, Yu Z, Wu XJ (2023) Robust supervised matrix factorization hashing with application to cross-modal retrieval. Neural Comput Appl 35(9):6665\u20136684","journal-title":"Neural Comput Appl"},{"issue":"7","key":"2131_CR10","doi-asserted-by":"publisher","first-page":"3952","DOI":"10.1109\/TII.2018.2884211","volume":"15","author":"C Hong","year":"2018","unstructured":"Hong C, Yu J, Zhang J, Jin X, Lee K (2018) Multimodal face-pose estimation with multitask manifold deep learning. IEEE Trans Ind Inf 15(7):3952\u20133961","journal-title":"IEEE Trans Ind Inf"},{"key":"2131_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2021.103224","volume":"208","author":"C Hong","year":"2021","unstructured":"Hong C, Chen L, Liang Y, Zeng Z (2021) Stacked capsule graph autoencoders for geometry-aware 3d head pose estimation. Comput Vis Image Underst 208:103224","journal-title":"Comput Vis Image Underst"},{"issue":"2","key":"2131_CR12","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1109\/TPAMI.2019.2932058","volume":"44","author":"J Yu","year":"2019","unstructured":"Yu J, Tan M, Zhang H, Rui Y, Tao D (2019) Hierarchical deep click feature prediction for fine-grained image recognition. IEEE Trans Pattern Anal Mach Intell 44(2):563\u2013578","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"12","key":"2131_CR13","doi-asserted-by":"publisher","first-page":"5659","DOI":"10.1109\/TIP.2015.2487860","volume":"24","author":"C Hong","year":"2015","unstructured":"Hong C, Yu J, Wan J, Tao D, Wang M (2015) Multimodal deep autoencoder for human pose recovery. IEEE Trans Image Process 24(12):5659\u20135670","journal-title":"IEEE Trans Image Process"},{"key":"2131_CR14","doi-asserted-by":"crossref","unstructured":"Hong C, Yu J, Chen X (2013) Image-based 3d human pose recovery with locality sensitive sparse retrieval. In: 2013 IEEE International Conference on systems, man, and cybernetics, pp 2103\u20132108. IEEE, 2013","DOI":"10.1109\/SMC.2013.360"},{"issue":"15","key":"2131_CR15","doi-asserted-by":"publisher","first-page":"17170","DOI":"10.1007\/s10489-022-03367-w","volume":"52","author":"J Yu","year":"2022","unstructured":"Yu J, Zhang D, Shu Z, Chen F (2022) Adaptive multi-modal fusion hashing via hadamard matrix. Appl Intell 52(15):17170\u201317184","journal-title":"Appl Intell"},{"issue":"3","key":"2131_CR16","first-page":"3877","volume":"45","author":"P Hu","year":"2022","unstructured":"Hu P, Zhu H, Lin J, Peng D, Zhao YP, Peng X (2022) Unsupervised contrastive cross-modal hashing. IEEE Trans Pattern Anal Mach Intell 45(3):3877\u20133889","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"2131_CR17","doi-asserted-by":"publisher","first-page":"2349","DOI":"10.1109\/TKDE.2019.2958342","volume":"33","author":"X Yang","year":"2019","unstructured":"Yang X, Liu W, Liu W, Tao D (2019) A survey on canonical correlation analysis. IEEE Trans Knowl Data Eng 33(6):2349\u20132368","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"12","key":"2131_CR18","doi-asserted-by":"publisher","first-page":"2639","DOI":"10.1162\/0899766042321814","volume":"16","author":"D Hardoon","year":"2004","unstructured":"Hardoon D, Szedmak S, Shawe-Taylor J (2004) Canonical correlation analysis: An overview with application to learning methods. Neural Comput 16(12):2639\u20132664","journal-title":"Neural Comput"},{"key":"2131_CR19","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/j.ins.2017.01.011","volume":"385","author":"X Yang","year":"2017","unstructured":"Yang X, Liu W, Tao D, Cheng J (2017) Canonical correlation analysis networks for two-view image recognition. Inf Sci 385:338\u2013352","journal-title":"Inf Sci"},{"key":"2131_CR20","doi-asserted-by":"crossref","unstructured":"Ding G, Guo Y, Zhou J (2014) Collective matrix factorization hashing for multimodal data. In: Proceedings of the IEEE Conference on computer vision and pattern recognition, pp 2075\u20132082","DOI":"10.1109\/CVPR.2014.267"},{"key":"2131_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107479","volume":"107","author":"D Wang","year":"2020","unstructured":"Wang D, Wang Q, He L, Gao X, Tian Y (2020) Joint and individual matrix factorization hashing for large-scale cross-modal retrieval. Pattern Recognit 107:107479","journal-title":"Pattern Recognit"},{"issue":"10","key":"2131_CR22","doi-asserted-by":"publisher","first-page":"3351","DOI":"10.1109\/TKDE.2020.2970050","volume":"33","author":"HT Shen","year":"2020","unstructured":"Shen HT, Liu L, Yang Y, Xu X, Huang Z, Shen F, Hong R (2020) Exploiting subspace relation in semantic labels for cross-modal hashing. IEEE Trans Knowl Data Eng 33(10):3351\u20133365","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2131_CR23","doi-asserted-by":"publisher","first-page":"3665","DOI":"10.1109\/TMM.2021.3105824","volume":"24","author":"L Wang","year":"2021","unstructured":"Wang L, Zareapoor M, Yang J, Zheng Z (2021) Asymmetric correlation quantization hashing for cross-modal retrieval. IEEE Trans Multimed 24:3665\u20133678","journal-title":"IEEE Trans Multimed"},{"key":"2131_CR24","doi-asserted-by":"crossref","unstructured":"Liu X, Li Z, Wang J, Yu G, Domenicon C, Zhang X (2019) Cross-modal zero-shot hashing. In: 2019 IEEE International Conference on data mining (ICDM), pages 449\u2013458. IEEE","DOI":"10.1109\/ICDM.2019.00055"},{"key":"2131_CR25","doi-asserted-by":"crossref","unstructured":"Zhong F, Chen Z, Min G (2019) An exploration of cross-modal retrieval for unseen concepts. In: Database systems for advanced applications: 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22\u201325, 2019, Proceedings, Part II 24, pp 20\u201335. Springer","DOI":"10.1007\/978-3-030-18579-4_2"},{"key":"2131_CR26","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.patrec.2021.02.016","volume":"145","author":"X Yuan","year":"2021","unstructured":"Yuan X, Wang G, Chen Z, Zhong F (2021) Chop: an orthogonal hashing method for zero-shot cross-modal retrieval. Pattern Recognit Lett 145:247\u2013253","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"2131_CR27","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1093\/nsr\/nwx106","volume":"5","author":"ZH Zhou","year":"2018","unstructured":"Zhou ZH (2018) A brief introduction to weakly supervised learning. Natl Sci Rev 5(1):44\u201353","journal-title":"Natl Sci Rev"},{"key":"2131_CR28","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.ins.2021.09.030","volume":"581","author":"R Wang","year":"2021","unstructured":"Wang R, Yu G, Zhang H, Guo M, Cui L, Zhang X (2021) Noise-robust deep cross-modal hashing. Inf Sci 581:136\u2013154","journal-title":"Inf Sci"},{"issue":"6","key":"2131_CR29","first-page":"6475","volume":"35","author":"C Zhang","year":"2022","unstructured":"Zhang C, Li H, Gao Y, Chen C (2022) Weakly-supervised enhanced semantic-aware hashing for cross-modal retrieval. IEEE Trans Knowl Data Eng 35(6):6475\u20136488","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"2","key":"2131_CR30","first-page":"1","volume":"10","author":"W Wang","year":"2019","unstructured":"Wang W, Zheng VW, Yu H, Miao C (2019) A survey of zero-shot learning: settings, methods, and applications. ACM Trans Intell Syst Technol (TIST) 10(2):1\u201337","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"key":"2131_CR31","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1016\/j.neucom.2022.09.037","volume":"511","author":"Z Shu","year":"2022","unstructured":"Shu Z, Yong K, Yu J, Gao S, Mao C, Yu Z (2022) Discrete asymmetric zero-shot hashing with application to cross-modal retrieval. Neurocomputing 511:366\u2013379","journal-title":"Neurocomputing"},{"key":"2131_CR32","unstructured":"Wang R, Yu G, Liu L, Cui L, Domeniconi C, Zhang X (2021) Cross-modal zero-shot hashing by label attributes embedding. arXiv preprint arXiv:2111.04080"},{"key":"2131_CR33","doi-asserted-by":"publisher","first-page":"5305","DOI":"10.1109\/TMM.2022.3190222","volume":"25","author":"L Song","year":"2022","unstructured":"Song L, Shang X, Yang C, Sun M (2022) Attribute-guided multiple instance hashing network for cross-modal zero-shot hashing. IEEE Trans Multimed 25:5305\u20135318","journal-title":"IEEE Trans Multimed"},{"key":"2131_CR34","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.patrec.2018.08.033","volume":"130","author":"H Cui","year":"2020","unstructured":"Cui H, Zhu L, Cui C, Nie X, Zhang H (2020) Efficient weakly-supervised discrete hashing for large-scale social image retrieval. Pattern Recognit Lett 130:174\u2013181","journal-title":"Pattern Recognit Lett"},{"key":"2131_CR35","doi-asserted-by":"crossref","unstructured":"Patrini G, Rozza A, Krishna\u00a0Menon A, Nock R, Qu L (2017) Making deep neural networks robust to label noise: a loss correction approach. In: Proceedings of the IEEE Conference on computer vision and pattern recognition, pp 1944\u20131952","DOI":"10.1109\/CVPR.2017.240"},{"key":"2131_CR36","unstructured":"Han B, Yao Q, Yu X, Niu G, Xu M, Hu W, Tsang I, Sugiyama M (2018) Co-teaching: robust training of deep neural networks with extremely noisy labels. In: 32nd Conference on Neural Information Processing Systems (NIPS), pp 1\u201311"},{"issue":"2","key":"2131_CR37","first-page":"552","volume":"8","author":"X Liu","year":"2019","unstructured":"Liu X, Yu G, Domeniconi C, Wang J, Xiao G, Guo M (2019) Weakly supervised cross-modal hashing. IEEE Trans Big Data 8(2):552\u2013563","journal-title":"IEEE Trans Big Data"},{"key":"2131_CR38","doi-asserted-by":"publisher","first-page":"2779","DOI":"10.1109\/TMM.2021.3087356","volume":"24","author":"M Wang","year":"2021","unstructured":"Wang M, Zhou W, Tian Q, Li H (2021) Deep enhanced weakly-supervised hashing with iterative tag refinement. IEEE Trans Multimed 24:2779\u20132790","journal-title":"IEEE Trans Multimed"},{"key":"2131_CR39","doi-asserted-by":"crossref","unstructured":"Hu P, Peng X, Zhu H, Zhen L, Lin J (2021) Learning cross-modal retrieval with noisy labels. In: Proceedings of the IEEE\/CVF Conference on computer vision and pattern recognition, pp 5403\u20135413","DOI":"10.1109\/CVPR46437.2021.00536"},{"key":"2131_CR40","doi-asserted-by":"crossref","unstructured":"Kulis Bn, Grauman K (2009). Kernelized locality-sensitive hashing for scalable image search. In: 2009 IEEE 12th International Conference on computer vision, pp 2130\u20132137. IEEE","DOI":"10.1109\/ICCV.2009.5459466"},{"key":"2131_CR41","doi-asserted-by":"crossref","unstructured":"Pennington J, Socher R, Manning CD (2014) Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on empirical methods in natural language processing (EMNLP), pp 1532\u20131543","DOI":"10.3115\/v1\/D14-1162"},{"issue":"12","key":"2131_CR42","doi-asserted-by":"publisher","first-page":"8822","DOI":"10.1109\/TCSVT.2022.3195874","volume":"32","author":"Y Wang","year":"2022","unstructured":"Wang Y, Chen ZD, Luo X, Xu XS (2022) A high-dimensional sparse hashing framework for cross-modal retrieval. IEEE Trans Circuits Syst Video Technol 32(12):8822\u20138836","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2131_CR43","doi-asserted-by":"crossref","unstructured":"Liu X, Nie X, Zeng W, Cui C, Zhu L, Yin Y (2018) Fast discrete cross-modal hashing with regressing from semantic labels. In: Proceedings of the 26th ACM International Conference on Multimedia, pp 1662\u20131669","DOI":"10.1145\/3240508.3240683"},{"key":"2131_CR44","unstructured":"Liu W, Mu C, Kumar S, Chang SF (2014) Discrete graph hashing. In: Proceedings of the 27th International Conference on Neural Information Processing Systems, pp 3419\u20133427"},{"issue":"4","key":"2131_CR45","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1137\/080738970","volume":"20","author":"JF Cai","year":"2010","unstructured":"Cai JF, Cand\u00e8s EJ, Shen Z (2010) A singular value thresholding algorithm for matrix completion. SIAM J Optim 20(4):1956\u20131982","journal-title":"SIAM J Optim"},{"key":"2131_CR46","volume-title":"Principles of mathematical analysis","author":"Walter Rudin","year":"1976","unstructured":"Rudin Walter et al (1976) Principles of mathematical analysis, vol 3. McGraw-hill, New York"},{"key":"2131_CR47","doi-asserted-by":"crossref","unstructured":"Rasiwasia N, Costa\u00a0Pereira J, Coviello E, Doyle G, Lanckriet GR, Levy R, Vasconcelos N (2010) A new approach to cross-modal multimedia retrieval. In: Proceedings of the 18th ACM International Conference on multimedia, pp 251\u2013260","DOI":"10.1145\/1873951.1873987"},{"key":"2131_CR48","doi-asserted-by":"crossref","unstructured":"Huiskes MJ, Lew MS (2008). The mir flickr retrieval evaluation. In: Proceedings of the 1st ACM International Conference on multimedia information retrieval, pp 39\u201343","DOI":"10.1145\/1460096.1460104"},{"key":"2131_CR49","doi-asserted-by":"crossref","unstructured":"Lin Z, Ding G, Hu M, Wang J (2015) Semantics-preserving hashing for cross-view retrieval. In: Proceedings of the IEEE Conference on computer vision and pattern recognition, pp 3864\u20133872","DOI":"10.1109\/CVPR.2015.7299011"},{"key":"2131_CR50","doi-asserted-by":"crossref","unstructured":"Chua T, 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 ACM International Conference on image and video retrieval, pp 1\u20139","DOI":"10.1145\/1646396.1646452"},{"key":"2131_CR51","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick C (2014) Microsoft coco: common objects in context. In Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, pp 740\u2013755. Springer","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"2131_CR52","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556"},{"issue":"10","key":"2131_CR53","doi-asserted-by":"publisher","first-page":"2466","DOI":"10.1109\/TPAMI.2018.2861000","volume":"41","author":"D Wang","year":"2018","unstructured":"Wang D, Gao X, Wang X, He L (2018) Label consistent matrix factorization hashing for large-scale cross-modal similarity search. IEEE Trans Pattern Anal Mach Intell 41(10):2466\u20132479","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"11","key":"2131_CR54","doi-asserted-by":"publisher","first-page":"3507","DOI":"10.1109\/TKDE.2020.2974825","volume":"33","author":"Y Wang","year":"2020","unstructured":"Wang Y, Luo X, Nie L, Song J, Zhang W, Xu X (2020) Batch: a scalable asymmetric discrete cross-modal hashing. IEEE Trans Knowl Data Eng 33(11):3507\u20133519","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2131_CR55","doi-asserted-by":"publisher","first-page":"9082","DOI":"10.1109\/TMM.2023.3245400","volume":"25","author":"K Luo","year":"2023","unstructured":"Luo K, Zhang C, Li H, Jia X, Chen C (2023) Adaptive marginalized semantic hashing for unpaired cross-modal retrieval. IEEE Trans Multimed 25:9082\u20139095","journal-title":"IEEE Trans Multimed"},{"key":"2131_CR56","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/TMM.2023.3272169","volume":"26","author":"Y Sun","year":"2023","unstructured":"Sun Y, Ren Z, Hu P, Peng D, Wang X (2023) Hierarchical consensus hashing for cross-modal retrieval. IEEE Trans Multimed 26:824\u2013836","journal-title":"IEEE Trans Multimed"},{"key":"2131_CR57","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.neunet.2023.05.035","volume":"165","author":"H Ni","year":"2023","unstructured":"Ni H, Zhang J, Kang P, Fang X, Sun W, Xie S, Han N (2023) Cross-modal hashing with missing labels. Neural Netw 165:60\u201376","journal-title":"Neural Netw"},{"key":"2131_CR58","doi-asserted-by":"crossref","unstructured":"Xu Y, Yang Y, Shen F, Xu X, Zhou Y, Shen HT (2017) Attribute hashing for zero-shot image retrieval. In: 2017 IEEE International Conference on Multimedia and Expo (ICME), pp 133\u2013138. IEEE","DOI":"10.1109\/ICME.2017.8019425"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-024-02131-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-024-02131-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-024-02131-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T16:57:22Z","timestamp":1760547442000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-024-02131-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,13]]},"references-count":58,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["2131"],"URL":"https:\/\/doi.org\/10.1007\/s13042-024-02131-5","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2024,4,13]]},"assertion":[{"value":"24 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}