{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T22:34:12Z","timestamp":1719873252819},"reference-count":14,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2024,1,1]]},"DOI":"10.1587\/transinf.2023edl8044","type":"journal-article","created":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T22:39:11Z","timestamp":1704062351000},"page":"148-152","source":"Crossref","is-referenced-by-count":1,"title":["Shared Latent Embedding Learning for Multi-View Subspace Clustering"],"prefix":"10.1587","volume":"E107.D","author":[{"given":"Zhaohu","family":"LIU","sequence":"first","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"SONG","sequence":"additional","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinshuai","family":"MU","sequence":"additional","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenming","family":"ZHENG","sequence":"additional","affiliation":[{"name":"Key Laboratory of Child Development and Learning Science, Ministry of Education (Southeast University), Southeast University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] M.-S. Chen, J.-Q. Lin, X.-L. Li, B.-Y. Liu, C.-D. Wang, D. Huang, and J.-H. Lai, \u201cRepresentation learning in multi-view clustering: A literature review,\u201d Data Science and Engineering, vol.7, no.3, pp.225-241, 2022. 10.1007\/s41019-022-00190-8","DOI":"10.1007\/s41019-022-00190-8"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] W. Yang, Y. Wang, C. Tang, H. Tong, A. Wei, and X. Wu, \u201cOne step multi-view spectral clustering via joint adaptive graph learning and matrix factorization,\u201d Neurocomputing, vol.524, pp.95-105, 2023. 10.1016\/j.neucom.2022.12.023","DOI":"10.1016\/j.neucom.2022.12.023"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] C. Zhang, Q. Hu, H. Fu, P. Zhu, and X. Cao, \u201cLatent multi-view subspace clustering,\u201d Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.4279-4287, 2017. 10.1109\/cvpr.2017.461","DOI":"10.1109\/CVPR.2017.461"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] T. Zhou, C. Zhang, X. Peng, H. Bhaskar, and J. Yang, \u201cDual shared-specific multiview subspace clustering,\u201d IEEE Transactions on Cybernetics, vol.50, no.8, pp.3517-3530, 2020. 10.1109\/tcyb.2019.2918495","DOI":"10.1109\/TCYB.2019.2918495"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] G. Niu, Y. Yang, and L. Sun, \u201cOne-step multi-view subspace clustering with incomplete views,\u201d Neurocomputing, vol.438, pp.290-301, 2021. 10.1016\/j.neucom.2021.01.080","DOI":"10.1016\/j.neucom.2021.01.080"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] X. Si, Q. Yin, X. Zhao, and L. Yao, \u201cConsistent and diverse multi-view subspace clustering with structure constraint,\u201d Pattern Recognition, vol.121, p.108196, 2022. 10.1016\/j.patcog.2021.108196","DOI":"10.1016\/j.patcog.2021.108196"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] M. Belkin and P. Niyogi, \u201cLaplacian eigenmaps for dimensionality reduction and data representation,\u201d Neural Computation, vol.15, no.6, pp.1373-1396, 2003. 10.1162\/089976603321780317","DOI":"10.1162\/089976603321780317"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] K. Fan, \u201cOn a theorem of Weyl concerning eigenvalues of linear transformations i,\u201d Proceedings of the National Academy of Sciences of the United States of America, vol.35, no.11, pp.652-655, 1949. 10.1073\/pnas.35.11.652","DOI":"10.1073\/pnas.35.11.652"},{"key":"9","unstructured":"[9] S. Gu, L. Zhang, W. Zuo, and X. Feng, \u201cProjective dictionary pair learning for pattern classification,\u201d Advances in Neural Information Processing Systems, vol.27, pp.1-9, 2014."},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] X. Cao, C. Zhang, H. Fu, S. Liu, and H. Zhang, \u201cDiversity-induced multi-view subspace clustering,\u201d Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.586-594, 2015. 10.1109\/cvpr.2015.7298657","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] H. Wang, Y. Yang, and B. Liu, \u201cGMC: Graph-based multi-view clustering,\u201d IEEE Transactions on Knowledge and Data Engineering, vol.32, no.6, pp.1116-1129, 2020. 10.1109\/tkde.2019.2903810","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] X. Liu, P. Song, C. Sheng, and W. Zhang, \u201cRobust multi-view non-negative matrix factorization for clustering,\u201d Digital Signal Processing, vol.123, p.103447, 2022. 10.1016\/j.dsp.2022.103447","DOI":"10.1016\/j.dsp.2022.103447"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] J. Wen, B. Zhang, Y. Xu, J. Yang, and N. Han, \u201cAdaptive weighted nonnegative low-rank representation,\u201d Pattern Recognition, vol.81, pp.326-340, 2018. 10.1016\/j.patcog.2018.04.004","DOI":"10.1016\/j.patcog.2018.04.004"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] X. Cai, D. Huang, G.-Y. Zhang, and C.-D. Wang, \u201cSeeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering,\u201d Information Fusion, vol.91, pp.364-375, 2023. 10.1016\/j.inffus.2022.10.020","DOI":"10.1016\/j.inffus.2022.10.020"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/1\/E107.D_2023EDL8044\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T04:13:57Z","timestamp":1704514437000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/1\/E107.D_2023EDL8044\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,1]]},"references-count":14,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2023edl8044","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,1]]},"article-number":"2023EDL8044"}}