{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:08:20Z","timestamp":1753888100213,"version":"3.41.2"},"reference-count":48,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":157,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2412019FZ049"],"award-info":[{"award-number":["2412019FZ049"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M661117"],"award-info":[{"award-number":["2019M661117"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71762018","62006174","61962026","62062040"],"award-info":[{"award-number":["71762018","62006174","61962026","62062040"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Feature representation learning is a key issue in artificial intelligence research. Multiview multimedia data can provide rich information, which makes feature representation become one of the current research hotspots in data analysis. Recently, a large number of multiview data feature representation methods have been proposed, among which matrix factorization shows the excellent performance. Therefore, we propose an adaptive\u2010weighted multiview deep basis matrix factorization (AMDBMF) method that integrates matrix factorization, deep learning, and view fusion together. Specifically, we first perform deep basis matrix factorization on data of each view. Then, all views are integrated to complete the procedure of multiview feature learning. Finally, we propose an adaptive weighting strategy to fuse the low\u2010dimensional features of each view so that a unified feature representation can be obtained for multiview multimedia data. We also design an iterative update algorithm to optimize the objective function and justify the convergence of the optimization algorithm through numerical experiments. We conducted clustering experiments on five multiview multimedia datasets and compare the proposed method with several excellent current methods. The experimental results demonstrate that the clustering performance of the proposed method is better than those of the other comparison methods.<\/jats:p>","DOI":"10.1155\/2021\/5526479","type":"journal-article","created":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T22:36:16Z","timestamp":1623105376000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive\u2010Weighted Multiview Deep Basis Matrix Factorization for Multimedia Data Analysis"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8741-8028","authenticated-orcid":false,"given":"Shicheng","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2462-0971","authenticated-orcid":false,"given":"Qinghua","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5689-5315","authenticated-orcid":false,"given":"Jiangyan","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4075-3512","authenticated-orcid":false,"given":"Wenle","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8319-6779","authenticated-orcid":false,"given":"Xiaolin","family":"Gui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9828-0319","authenticated-orcid":false,"given":"Yugen","family":"Yi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,6,7]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.115984"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2892971"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2980942"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.03.024"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.01.005"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/wics.101"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(00)00026-5"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1980.1094577"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1038\/44565"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2012.51"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa577"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103625"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2020.08.002"},{"key":"e_1_2_9_14_2","first-page":"1457","article-title":"Non-negative matrix factorization with sparseness constraints","volume":"5","author":"Hoyer P. O.","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_9_15_2","doi-asserted-by":"crossref","unstructured":"ChoiS. Algorithms for orthogonal nonnegative matrix factorization 2008 IEEE International Joint Conference on Neural Networks June 2008 Hong Kong China 1828\u20131832 https:\/\/doi.org\/10.1109\/IJCNN.2008.4634046 2-s2.0-56349098310.","DOI":"10.1109\/IJCNN.2008.4634046"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2008.277"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.10.007"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfds.2017.05.001"},{"key":"e_1_2_9_21_2","unstructured":"AhnJ. H. KimS. OhJ. H. andChoiS. Multiple nonnegative-matrix factorization of dynamic PET images Proceedings of Asian Conference on Computer Vision 2004 Jeju Korea 1009\u20131013."},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2554555"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2962679"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2019.2939637"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3685-9"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.12.054"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09766-w"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.007"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2872063"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107567"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2019.06.026"},{"key":"e_1_2_9_32_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.11.019"},{"key":"e_1_2_9_33_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.10.023"},{"key":"e_1_2_9_34_2","doi-asserted-by":"crossref","unstructured":"LiuJ. WangC. GaoJ. andHanJ. Multi-view clustering via joint nonnegative matrix factorization Proceedings of the 2013 SIAM International Conference on Data Mining 2013 Austin TX USA 252\u2013260 https:\/\/doi.org\/10.1137\/1.9781611972832.28.","DOI":"10.1137\/1.9781611972832.28"},{"key":"e_1_2_9_35_2","doi-asserted-by":"crossref","unstructured":"ChangW. Y. WeiC. P. andWangY. C. F. Multi-view nonnegative matrix factorization for clothing image characterization 2014 22nd International Conference on Pattern Recognition August 2014 Stockholm Sweden 1272\u20131277 https:\/\/doi.org\/10.1109\/ICPR.2014.228 2-s2.0-84919915605.","DOI":"10.1109\/ICPR.2014.228"},{"key":"e_1_2_9_36_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105582"},{"key":"e_1_2_9_37_2","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01055"},{"key":"e_1_2_9_38_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6104"},{"key":"e_1_2_9_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979532"},{"key":"e_1_2_9_40_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10867"},{"key":"e_1_2_9_41_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107015"},{"key":"e_1_2_9_42_2","doi-asserted-by":"crossref","unstructured":"GreeneD.andCunninghamP. Practical solutions to the problem of diagonal dominance in kernel document clustering Proceedings of the 23rd international conference on Machine learning 2006 New York NY USA 377\u2013384 https:\/\/doi.org\/10.1145\/1143844.1143892 2-s2.0-34250762673.","DOI":"10.1145\/1143844.1143892"},{"key":"e_1_2_9_43_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34475-6_23"},{"key":"e_1_2_9_44_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.104"},{"key":"e_1_2_9_45_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.07.031"},{"key":"e_1_2_9_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2011.2159587"},{"key":"e_1_2_9_47_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"e_1_2_9_48_2","doi-asserted-by":"crossref","unstructured":"HuangX. ZhongB. CaoY. YiY. andGuM. Chest X-ray lung Chinese description generation based on semantic labels and hierarchical LSTM 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) December 2020 Seoul Korea (South) 1020\u20131023 https:\/\/doi.org\/10.1109\/BIBM49941.2020.9313293.","DOI":"10.1109\/BIBM49941.2020.9313293"}],"container-title":["Wireless Communications and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2021\/5526479.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2021\/5526479.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/5526479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T10:28:33Z","timestamp":1723026513000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/5526479"}},"subtitle":[],"editor":[{"given":"Wei","family":"Quan","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/5526479"],"URL":"https:\/\/doi.org\/10.1155\/2021\/5526479","archive":["Portico"],"relation":{},"ISSN":["1530-8669","1530-8677"],"issn-type":[{"type":"print","value":"1530-8669"},{"type":"electronic","value":"1530-8677"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-02-23","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-22","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"5526479"}}