{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:10:02Z","timestamp":1755879002249,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Fujian Province Natural Science Foundation","award":["2023J01532."],"award-info":[{"award-number":["2023J01532."]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,19]]},"DOI":"10.1145\/3653781.3653802","type":"proceedings-article","created":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T12:22:26Z","timestamp":1717244546000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Conditionally Positive Define Kernel Low-rank Subspace Clustering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5135-4007","authenticated-orcid":false,"given":"Liping","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer and Cyber Security? Fujian Normal University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Guang Z;Dong H;Chang W.Facilitated low-rank multi-view subspace clustering.[J].Knowledge-Based Systems 2023 Vol.260: 110141","DOI":"10.1016\/j.knosys.2022.110141"},{"key":"e_1_3_2_1_2_1","unstructured":"Wei L; Tianchuan Y; Qingfeng C; Shichao Z;|Yi Dong;|Huiyu Zhou;|Yi Pan.Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph[J].IEEE Transactions on Neural Networks and Learning Systems 2023 : 1-14"},{"key":"e_1_3_2_1_3_1","unstructured":"Yuheng J;Guanxing L;Hui L;Junhui H.Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation[J].IEEE Transactions on Circuits and Systems for Video Technology 2023 1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Feiping N;Wei C;Zhanxuan H;Xuelong L.Robust Subspace Clustering With Low-Rank Structure Constraint[J].IEEE Transactions on Knowledge and Data Engineering 2022 Vol.34(3): 1404-1415","DOI":"10.1109\/TKDE.2020.2995896"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Jie C; Shengxiang Y; Hua M;Fahy Conor.Multiview Subspace Clustering Using Low-Rank Representation[J].IEEE Transactions on Cybernetics 2022 Vol.52(11): 12364-12378","DOI":"10.1109\/TCYB.2021.3087114"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.939739"},{"issue":"11","key":"e_1_3_2_1_7_1","first-page":"2765","article-title":"Sparse subspace clustering, algorithm, theory, and applications, Pattern Analysis and Machine Intelligence","volume":"35","author":"Elhamifar E","year":"2013","unstructured":"Elhamifar E, Vidal R, Sparse subspace clustering, algorithm, theory, and applications, Pattern Analysis and Machine Intelligence, IEEE TR, 35(11), 2765-2781, (2013)","journal-title":"IEEE TR"},{"key":"e_1_3_2_1_8_1","first-page":"20","article-title":"A review of sparsity-based clustering methods[J]","volume":"2018","author":"Oktar Y","unstructured":"Oktar Y , Turkan M . A review of sparsity-based clustering methods[J]. Signal Processing,2018:20-30.","journal-title":"Signal Processing"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.01.016"},{"key":"e_1_3_2_1_10_1","volume-title":"Articulated,Rigid, Non-rigid, Degenerate and Non-degenerate[C]\/\/ European Conference on Computer Vision","author":"Yan J","year":"2006","unstructured":"Yan J , Pollefeys M . A General Framework for Motion Segmentation: Independent, Articulated,Rigid, Non-rigid, Degenerate and Non-degenerate[C]\/\/ European Conference on Computer Vision. Springer, Berlin, Heidelberg, 2006."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.08.006"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33786-4_26"},{"key":"e_1_3_2_1_13_1","volume-title":"Proc","author":"Favaro P","year":"1801","unstructured":"Favaro P, Vidal R, Ravichandran A, A closed form solution to robust subspace estimation and clustering, in Proc, IEEE Conf,Comput, Vis, Pattern Recogn, 1801-1807 , (2011)"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.170"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Jun X Kui X Reweighted sparse subspace clustering Computer Vision and Image Understanding 138 25-37 (2015)","DOI":"10.1016\/j.cviu.2015.04.003"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.12.002"},{"key":"e_1_3_2_1_18_1","first-page":"168","article-title":"Multimodal sparse and low-rank subspace clustering[J]","volume":"2018","author":"Abavisani M.","unstructured":"Abavisani, M., & Patel, V. M. Multimodal sparse and low-rank subspace clustering[J]. Information Fusion,2018: 168-177.","journal-title":"Information Fusion"},{"key":"e_1_3_2_1_19_1","first-page":"247","article-title":"Multi-view low-rank sparse subspace clustering[J]","volume":"2018","author":"Brbic M.","unstructured":"Brbic, M., & Kopriva, I. Multi-view low-rank sparse subspace clustering[J]. Pattern Recognition, 2018:247-258.","journal-title":"Pattern Recognition"},{"key":"e_1_3_2_1_20_1","volume-title":"Adaptive Low-Rank Kernel Subspace Clustering[J]","author":"Ji P","year":"2017","unstructured":"Ji P , Reid I , Garg R , Adaptive Low-Rank Kernel Subspace Clustering[J]. 2017."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"\u00a0Liu M Wang Y Sun J Adaptive low-rank kernel block diagonal representation subspace clustering[J]. Applied Intelligence: The International Journal of Artificial Intelligence Neural Networks and Complex Problem-Solving Technologies 2:52. (2022)","DOI":"10.1007\/s10489-021-02396-1"},{"key":"e_1_3_2_1_22_1","volume-title":"Kernel Descriptors for Visual Recognition[C]\/\/ Advances in Neural Information Processing Systems 23","author":"Bo L","year":"2010","unstructured":"Bo L, Ren X, Fox D. Kernel Descriptors for Visual Recognition[C]\/\/ Advances in Neural Information Processing Systems 23: December 2010, Vancouver, British Columbia, Canada. DBLP, 2010:244-252."},{"key":"e_1_3_2_1_23_1","unstructured":"Blake C& Merz C.UCI repository of machine learning databases 1998."}],"event":{"name":"CVDL 2024: The International Conference on Computer Vision and Deep Learning","acronym":"CVDL 2024","location":"Changsha China"},"container-title":["Proceedings of the International Conference on Computer Vision and Deep Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3653781.3653802","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3653781.3653802","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:28:36Z","timestamp":1755876516000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3653781.3653802"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,19]]},"references-count":23,"alternative-id":["10.1145\/3653781.3653802","10.1145\/3653804"],"URL":"https:\/\/doi.org\/10.1145\/3653781.3653802","relation":{},"subject":[],"published":{"date-parts":[[2024,1,19]]},"assertion":[{"value":"2024-06-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}