{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:21:33Z","timestamp":1743117693614,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319483344"},{"type":"electronic","value":"9783319483351"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48335-1_10","type":"book-chapter","created":{"date-parts":[[2016,10,14]],"date-time":"2016-10-14T15:17:09Z","timestamp":1476458229000},"page":"91-101","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["3D Medical Model Automatic Annotation and Retrieval Using LDA Based on Semantic Features"],"prefix":"10.1007","author":[{"given":"Xinying","family":"Wang","sequence":"first","affiliation":[]},{"given":"Fangming","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,15]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.compmedimag.2016.01.001","volume":"49","author":"A Kumar","year":"2016","unstructured":"Kumar, A., Dyer, S., Kim, J., et al.: Adapting content-based image retrieval techniques for the semantic annotation of medical images. Comput. Med. Imaging Graph. 49, 37\u201345 (2016)","journal-title":"Comput. Med. Imaging Graph."},{"key":"10_CR2","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"11","key":"10_CR3","first-page":"2758","volume":"24","author":"B Han","year":"2013","unstructured":"Han, B., Yang, C., Gao, X.B.: Aurora image classification based on LDA combining with saliency information. Ruan Jian Xue Bao\/J. Softw. 24(11), 2758\u20132766 (2013). (in Chinese)","journal-title":"Ruan Jian Xue Bao\/J. Softw."},{"issue":"22","key":"10_CR4","doi-asserted-by":"publisher","first-page":"5599","DOI":"10.1016\/j.ijleo.2013.04.108","volume":"124","author":"C Zhou","year":"2013","unstructured":"Zhou, C., Wang, L., Zhang, Q., Wei, X.: Face recognition based on PCA image reconstruction and LDA. Optik Int. J. Light Electron Opt. 124(22), 5599\u20135603 (2013)","journal-title":"Optik Int. J. Light Electron Opt."},{"key":"10_CR5","unstructured":"Shilane, P., et al.: The Princeton shape benchmark. In: The Shape Modeling International, pp. 388\u2013399 (2004)"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Xi, W., Fox, E.A., Zhang, B., et al.: SimFusion: measuring similarity using unified relationship matrix. In: SIGIR 2005 Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil, pp. 130\u2013137, 15\u201319 August 2005","DOI":"10.1145\/1076034.1076059"},{"issue":"Suppl","key":"10_CR7","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proc. Natl. Acad. Sci. 101(Suppl), 5228\u20135235 (2004)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10_CR8","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/7287.001.0001","volume-title":"WordNet: An Electronic Lexical Database","author":"C Felbaum","year":"1998","unstructured":"Felbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)"},{"key":"10_CR9","unstructured":"Seco, N., Veale, T., Hayes, J.: An intrinsic information content metric for semantic similarity in WordNet. In: Proceedings of the 16th European Conference on Artificial Intelligence, ECAI 2004, Valencia, Spain (2004)"},{"issue":"2","key":"10_CR10","first-page":"54","volume":"2","author":"M Heczko","year":"2002","unstructured":"Heczko, M., Keim, D., Saupe, D., Vranic, D.V.: Methods for similarity search on 3D databases. German, Datenbank-Spektrum 2(2), 54\u201363 (2002)","journal-title":"German, Datenbank-Spektrum"},{"key":"10_CR11","unstructured":"Zhao, Y., Karypis, G.: Criterion functions for document clustering: experiment and analysis. Technical report, University of Minnesota, 01-40 (2001)"},{"key":"10_CR12","unstructured":"Pelleg, D., Moore, A.: X-means: extending k-means with efficient estimation of the number of clusters. In: Proceedings of the 17th International Conference on Machine Learning, ICML 2000, pp. 89\u201397. Morgan Kaufmann, Palo Alto (2000)"}],"container-title":["Lecture Notes in Computer Science","Health Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48335-1_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T14:19:00Z","timestamp":1709821140000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-48335-1_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319483344","9783319483351"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48335-1_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"15 October 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Health Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","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":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 November 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 November 2016","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":"his22016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}