{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:02:00Z","timestamp":1782864120178,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71871006"],"award-info":[{"award-number":["71871006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,23]]},"DOI":"10.1145\/3579654.3579773","type":"proceedings-article","created":{"date-parts":[[2023,3,14]],"date-time":"2023-03-14T16:09:40Z","timestamp":1678810180000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["\u03b8 is all you need: Revisiting SVD in caputuring changes in matrices"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1107-2889","authenticated-orcid":false,"given":"Yanwen","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Economics and Management, Beihang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5319-8060","authenticated-orcid":false,"given":"Jichang","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beihang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1976.1093309"},{"key":"e_1_3_2_1_2_1","volume-title":"Sur les groupes lin\u00e9aires, r\u00e9els et orthogonaux. Bulletin de la soci\u00e9t\u00e9 math\u00e9matique de France 30","author":"Autonne L","year":"1902","unstructured":"L Autonne. 1902. Sur les groupes lin\u00e9aires, r\u00e9els et orthogonaux. Bulletin de la soci\u00e9t\u00e9 math\u00e9matique de France 30 (1902), 121\u2013134."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995667"},{"key":"e_1_3_2_1_4_1","volume-title":"Unsupervised change detection in satellite images using principal component analysis and k-means clustering","author":"Celik Turgay","year":"2009","unstructured":"Turgay Celik. 2009. Unsupervised change detection in satellite images using principal component analysis and k-means clustering. IEEE geoscience and remote sensing letters 6, 4 (2009), 772\u2013776."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.01.004"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/pmic.200401261"},{"key":"e_1_3_2_1_7_1","volume-title":"Unsupervised change detection in satellite images using convolutional neural networks. In 2019 International joint conference on neural networks (IJCNN)","author":"de Jong Kevin\u00a0Louis","unstructured":"Kevin\u00a0Louis de Jong and Anna\u00a0Sergeevna Bosman. 2019. Unsupervised change detection in satellite images using convolutional neural networks. In 2019 International joint conference on neural networks (IJCNN). IEEE, 1\u20138."},{"key":"e_1_3_2_1_8_1","volume-title":"Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching. bioinformatics 22, 17","author":"Du Pan","year":"2006","unstructured":"Pan Du, Warren\u00a0A Kibbe, and Simon\u00a0M Lin. 2006. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching. bioinformatics 22, 17 (2006), 2059\u20132065."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9904-1939-06910-3"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.222"},{"key":"e_1_3_2_1_11_1","unstructured":"Martin Ester Hans-Peter Kriegel J\u00f6rg Sander Xiaowei Xu 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol.\u00a096. 226\u2013231."},{"key":"e_1_3_2_1_12_1","volume-title":"KLT and PCA. Pattern recognition 14, 1-6","author":"Gerbrands J","year":"1981","unstructured":"Jan\u00a0J Gerbrands. 1981. On the relationships between SVD, KLT and PCA. Pattern recognition 14, 1-6 (1981), 375\u2013381."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"G.\u00a0H. Golub and C. Reinsch. 1971. Singular Value Decomposition and Least Squares Solutions. Springer Berlin Heidelberg Berlin Heidelberg 134\u2013151.","DOI":"10.1007\/978-3-662-39778-7_10"},{"key":"e_1_3_2_1_14_1","volume-title":"Pattern recognition and image analysis","author":"Gose Earl","unstructured":"Earl Gose, Richard Johnsonbaugh, and Steve Jost. 1996. Pattern recognition and image analysis. Prentice-Hall, Inc."},{"key":"e_1_3_2_1_15_1","volume-title":"An efficient SVD-based method for image denoising","author":"Guo Qiang","year":"2015","unstructured":"Qiang Guo, Caiming Zhang, Yunfeng Zhang, and Hui Liu. 2015. An efficient SVD-based method for image denoising. IEEE transactions on Circuits and Systems for Video Technology 26, 5(2015), 868\u2013880."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2015851118"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775061"},{"key":"e_1_3_2_1_18_1","volume-title":"CCTV Surveillance: Video practices and technology","author":"Kruegle Herman","unstructured":"Herman Kruegle. 2011. CCTV Surveillance: Video practices and technology. Elsevier."},{"key":"e_1_3_2_1_19_1","volume-title":"Biocomputing","author":"Lange Eva","year":"2006","unstructured":"Eva Lange, Clemens Gr\u00f6pl, Knut Reinert, Oliver Kohlbacher, and Andreas Hildebrandt. 2006. High-accuracy peak picking of proteomics data using wavelet techniques. In Biocomputing 2006. World Scientific, 243\u2013254."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-021-00039-6"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.338"},{"key":"e_1_3_2_1_22_1","volume-title":"Symmetric gauge functions and unitarily invariant norms. The quarterly journal of mathematics 11, 1","author":"Mirsky Leon","year":"1960","unstructured":"Leon Mirsky. 1960. Symmetric gauge functions and unitarily invariant norms. The quarterly journal of mathematics 11, 1 (1960), 50\u201359."},{"key":"e_1_3_2_1_23_1","volume-title":"Proc. 1st Int. Conf. Advanced Data Analysis, Business Analytics and Intelligence, Vol.\u00a0122","author":"Palshikar Girish","year":"2009","unstructured":"Girish Palshikar 2009. Simple algorithms for peak detection in time-series. In Proc. 1st Int. Conf. Advanced Data Analysis, Business Analytics and Intelligence, Vol.\u00a0122."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIMA.2007.386"},{"key":"e_1_3_2_1_25_1","volume-title":"A variation on SVD based image compression. Image and Vision computing 25, 6","author":"Ranade Abhiram","year":"2007","unstructured":"Abhiram Ranade, Srikanth\u00a0S Mahabalarao, and Satyen Kale. 2007. A variation on SVD based image compression. Image and Vision computing 25, 6 (2007), 771\u2013777."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.789"},{"key":"e_1_3_2_1_27_1","unstructured":"Huiwen Wang Yanwen Zhang and Jichang Zhao. 2021. Enhancing the SVD Compression. arXiv preprint arXiv:2112.03715(2021)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2018.03.088"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2410031"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2018.1527227"},{"key":"e_1_3_2_1_31_1","first-page":"1","article-title":"Unsupervised change detection by cross-resolution difference learning","volume":"60","author":"Zheng Xiangtao","year":"2021","unstructured":"Xiangtao Zheng, Xiumei Chen, Xiaoqiang Lu, and Bangyong Sun. 2021. Unsupervised change detection by cross-resolution difference learning. IEEE Transactions on Geoscience and Remote Sensing 60 (2021), 1\u201316.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"}],"event":{"name":"ACAI 2022: 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","location":"Sanya China","acronym":"ACAI 2022"},"container-title":["Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579773","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3579654.3579773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:00:01Z","timestamp":1755846001000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3579654.3579773"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":31,"alternative-id":["10.1145\/3579654.3579773","10.1145\/3579654"],"URL":"https:\/\/doi.org\/10.1145\/3579654.3579773","relation":{},"subject":[],"published":{"date-parts":[[2022,12,23]]},"assertion":[{"value":"2023-03-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}