{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T16:51:57Z","timestamp":1756572717708,"version":"3.40.3"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030858988"},{"type":"electronic","value":"9783030858995"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-85899-5_1","type":"book-chapter","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T10:06:38Z","timestamp":1629281198000},"page":"3-17","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unsupervised Deep Hashing via Adaptive Clustering"],"prefix":"10.1007","author":[{"given":"Shuying","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian-Ling","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heyan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,19]]},"reference":[{"issue":"9","key":"1_CR1","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1145\/361002.361007","volume":"18","author":"JL Bentley","year":"1975","unstructured":"Bentley, J.L.: Multidimensional binary search trees used for associative searching. Commun. ACM 18(9), 509\u2013517 (1975)","journal-title":"Commun. ACM"},{"doi-asserted-by":"crossref","unstructured":"Cao, Z., Long, M., Wang, J., Yu, P.S.: HashNet: deep learning to hash by continuation. In: CVPR, pp. 5608\u20135617 (2017)","key":"1_CR2","DOI":"10.1109\/ICCV.2017.598"},{"unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. arXiv preprint arXiv:2002.05709 (2020)","key":"1_CR3"},{"doi-asserted-by":"crossref","unstructured":"Datar, M., Immorlica, N., Indyk, P., Mirrokni, V.S.: Locality-sensitive hashing scheme based on p-stable distributions. In: Proceedings of the Twentieth Annual Symposium on Computational Geometry, pp. 253\u2013262 (2004)","key":"1_CR4","DOI":"10.1145\/997817.997857"},{"key":"1_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/978-3-319-46454-1_14","volume-title":"Computer Vision \u2013 ECCV 2016","author":"T-T Do","year":"2016","unstructured":"Do, T.-T., Doan, A.-D., Cheung, N.-M.: Learning to hash with binary deep neural network. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 219\u2013234. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_14"},{"doi-asserted-by":"crossref","unstructured":"Gattupalli, V., Zhuo, Y., Li, B.: Weakly supervised deep image hashing through tag embeddings. In: CVPR, pp. 10375\u201310384 (2019)","key":"1_CR6","DOI":"10.1109\/CVPR.2019.01062"},{"unstructured":"Gionis, A., Indyk, P., Motwani, R.: Similarity search in high dimensions via hashing. In: VLDB 1999, pp. 518\u2013529 (1999)","key":"1_CR7"},{"doi-asserted-by":"crossref","unstructured":"Gong, Y., Lazebnik, S.: Iterative quantization: a procrustean approach to learning binary codes. In: CVPR, pp. 817\u2013824 (2011)","key":"1_CR8","DOI":"10.1109\/CVPR.2011.5995432"},{"doi-asserted-by":"crossref","unstructured":"Guttman, A.: R-trees: a dynamic index structure for spatial searching. In: SIGMOD 1984, pp. 47\u201357. ACM Press (1984)","key":"1_CR9","DOI":"10.1145\/971697.602266"},{"doi-asserted-by":"crossref","unstructured":"He, K., Wen, F., Sun, J.: K-means hashing: an affinity-preserving quantization method for learning binary compact codes. In: CVPR, pp. 2938\u20132945 (2013)","key":"1_CR10","DOI":"10.1109\/CVPR.2013.378"},{"unstructured":"Heo, J.P., Lee, Y., He, J., Chang, S.F., Yoon, S.E.: Spherical hashing. In: CVPR, pp. 2957\u20132964 (2012)","key":"1_CR11"},{"doi-asserted-by":"crossref","unstructured":"Hu, Q., Wu, J., Cheng, J., Wu, L., Lu, H.: Pseudo label based unsupervised deep discriminative hashing for image retrieval. In: Proceedings of the 2017 ACM on Multimedia Conference, MM, pp. 1584\u20131590 (2017)","key":"1_CR12","DOI":"10.1145\/3123266.3123403"},{"doi-asserted-by":"crossref","unstructured":"Indyk, P., Motwani, R.: Approximate nearest neighbors: towards removing the curse of dimensionality. In: Proceedings of the Thirtieth Annual ACM Symposium on the Theory of Computing, pp. 604\u2013613. ACM (1998)","key":"1_CR13","DOI":"10.1145\/276698.276876"},{"unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS, pp. 1106\u20131114 (2012)","key":"1_CR14"},{"unstructured":"Kulis, B., Darrell, T.: Learning to hash with binary reconstructive embeddings. In: NIPS, pp. 1042\u20131050 (2009)","key":"1_CR15"},{"doi-asserted-by":"crossref","unstructured":"Lai, H., Pan, Y., Liu, Y., Yan, S.: Simultaneous feature learning and hash coding with deep neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 3270\u20133278 (2015)","key":"1_CR16","DOI":"10.1109\/CVPR.2015.7298947"},{"unstructured":"Li, Q., Sun, Z., He, R., Tan, T.: Deep supervised discrete hashing. In: NIPS, pp. 2482\u20132491 (2017)","key":"1_CR17"},{"doi-asserted-by":"crossref","unstructured":"Li, W., Wang, S., Kang, W.: Feature learning based deep supervised hashing with pairwise labels. In: IJCAI, pp. 1711\u20131717 (2016)","key":"1_CR18","DOI":"10.1145\/3094243.3094257"},{"unstructured":"Li, Y., van Gemert, J.: Deep unsupervised image hashing by maximizing bit entropy. CoRR arxiv:abs\/2012.12334 (2020)","key":"1_CR19"},{"doi-asserted-by":"crossref","unstructured":"Lin, K., Lu, J., Chen, C., Zhou, J.: Learning compact binary descriptors with unsupervised deep neural networks. In: CVPR, pp. 1183\u20131192 (2016)","key":"1_CR20","DOI":"10.1109\/CVPR.2016.133"},{"issue":"6","key":"1_CR21","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1109\/TPAMI.2018.2833865","volume":"41","author":"K Lin","year":"2019","unstructured":"Lin, K., Lu, J., Chen, C., Zhou, J., Sun, M.: Unsupervised deep learning of compact binary descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 41(6), 1501\u20131514 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Lin, K., Yang, H., Hsiao, J., Chen, C.: Deep learning of binary hash codes for fast image retrieval. In: CVPR, pp. 27\u201335 (2015)","key":"1_CR22","DOI":"10.1109\/CVPRW.2015.7301269"},{"doi-asserted-by":"crossref","unstructured":"Liong, V.E., Lu, J., Wang, G., Moulin, P., Zhou, J.: Deep hashing for compact binary codes learning. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 2475\u20132483 (2015)","key":"1_CR23","DOI":"10.1109\/CVPR.2015.7298862"},{"unstructured":"Liu, W., Mu, C., Kumar, S., Chang, S.: Discrete graph hashing. In: NIPS, pp. 3419\u20133427 (2014)","key":"1_CR24"},{"unstructured":"Liu, W., Wang, J., Ji, R., Jiang, Y., Chang, S.: Supervised hashing with kernels. In: CVPR, pp. 2074\u20132081 (2012)","key":"1_CR25"},{"unstructured":"Liu, W., Wang, J., Kumar, S., Chang, S.: Hashing with graphs. In: Proceedings of the 28th International Conference on Machine Learning, ICML, pp. 1\u20138. Omnipress (2011)","key":"1_CR26"},{"issue":"Nov","key":"1_CR27","first-page":"2579","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9(Nov), 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"unstructured":"Norouzi, M., Fleet, D.J.: Minimal loss hashing for compact binary codes. In: ICML, pp. 353\u2013360 (2011)","key":"1_CR28"},{"doi-asserted-by":"crossref","unstructured":"Shen, F., Shen, C., Liu, W., Shen, H.T.: Supervised discrete hashing. In: CVPR, pp. 37\u201345. IEEE Computer Society (2015)","key":"1_CR29","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"1_CR30","doi-asserted-by":"publisher","first-page":"3034","DOI":"10.1109\/TPAMI.2018.2789887","volume":"40","author":"F Shen","year":"2018","unstructured":"Shen, F., Xu, Y., Liu, L., Yang, Y., Huang, Z., Shen, H.T.: Unsupervised deep hashing with similarity-adaptive and discrete optimization. IEEE Trans. Pattern Anal. Mach. Intell. 40, 3034\u20133044 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)","key":"1_CR31"},{"unstructured":"Su, S., Zhang, C., Han, K., Tian, Y.: Greedy hash: towards fast optimization for accurate hash coding in CNN. In: NIPS, pp. 806\u2013815 (2018)","key":"1_CR32"},{"unstructured":"Weiss, Y., Torralba, A., Fergus, R.: Spectral hashing. In: NIPS, pp. 1753\u20131760. Curran Associates, Inc. (2008)","key":"1_CR33"},{"doi-asserted-by":"crossref","unstructured":"Wu, Z., Xiong, Y., Yu, S.X., Lin, D.: Unsupervised feature learning via non-parametric instance discrimination. In: CVPR, pp. 3733\u20133742. IEEE Computer Society (2018)","key":"1_CR34","DOI":"10.1109\/CVPR.2018.00393"},{"doi-asserted-by":"crossref","unstructured":"Xia, R., Pan, Y., Lai, H., Liu, C., Yan, S.: Supervised hashing for image retrieval via image representation learning. In: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, pp. 2156\u20132162 (2014)","key":"1_CR35","DOI":"10.1609\/aaai.v28i1.8952"},{"doi-asserted-by":"crossref","unstructured":"Yang, E., Deng, C., Liu, T., Liu, W., Tao, D.: Semantic structure-based unsupervised deep hashing. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI, pp. 1064\u20131070 (2018)","key":"1_CR36","DOI":"10.24963\/ijcai.2018\/148"},{"doi-asserted-by":"crossref","unstructured":"Yang, E., Liu, T., Deng, C., Liu, W., Tao, D.: DistillHash: unsupervised deep hashing by distilling data pairs. In: CVPR, pp. 2946\u20132955 (2019)","key":"1_CR37","DOI":"10.1109\/CVPR.2019.00306"},{"doi-asserted-by":"crossref","unstructured":"Ye, M., Zhang, X., Yuen, P.C., Chang, S.: Unsupervised embedding learning via invariant and spreading instance feature. In: CVPR, pp. 6210\u20136219 (2019)","key":"1_CR38","DOI":"10.1109\/CVPR.2019.00637"},{"doi-asserted-by":"crossref","unstructured":"Zhang, P., Zhang, W., Li, W., Guo, M.: Supervised hashing with latent factor models. In: SIGIR, pp. 173\u2013182 (2014)","key":"1_CR39","DOI":"10.1145\/2600428.2609600"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-85899-5_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T14:15:54Z","timestamp":1699366554000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-85899-5_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030858988","9783030858995"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-85899-5_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"19 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APWeb-WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apwebwaim2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"184","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":"44","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":"24","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":"24% - 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":"3.6","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":"6.38","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)"}}]}}