{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T09:08:44Z","timestamp":1722416924755},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the National Science Foundation of China","award":["No.62072372"],"award-info":[{"award-number":["No.62072372"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s10489-021-02439-7","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T06:03:36Z","timestamp":1629266616000},"page":"5646-5656","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unsupervised 2D dimensionality reduction by jointly learning structural and temporal correlation"],"prefix":"10.1007","volume":"52","author":[{"given":"Mei","family":"Shi","sequence":"first","affiliation":[]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Jing","family":"An","sequence":"additional","affiliation":[]},{"given":"Xueqing","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Weiwei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Pengfei","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,18]]},"reference":[{"issue":"12","key":"2439_CR1","doi-asserted-by":"publisher","first-page":"1624","DOI":"10.1109\/TKDE.2005.198","volume":"17","author":"D Cai","year":"2005","unstructured":"Cai D, He X, Han J (2005) Document clustering using locality preserving indexing. IEEE Trans Knowl Data Eng 17(12):1624\u20131637","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2439_CR2","unstructured":"Chang X, Nie F, Yang Y, Huang H (2014) A convex sparse PCA for feature analysis. CoRR arXiv:1411.6233"},{"issue":"99","key":"2439_CR3","first-page":"1617","volume":"PP","author":"X Chang","year":"2016","unstructured":"Chang X, Yu Y L, Yi Y, Xing E P (2016) Semantic pooling for complex event analysis in untrimmed videos. IEEE Transactions on Pattern Analysis and Machine Intelligence PP(99):1617\u20131632","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2439_CR4","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.knosys.2019.01.022","volume":"169","author":"W Chen","year":"2019","unstructured":"Chen W, Li C, Shao Y, Zhang J, Deng N (2019) 2drlpp: robust two-dimensional locality preserving projection with regularization. Knowl Based Syst 169:53\u201366. https:\/\/doi.org\/10.1016\/j.knosys.2019.01.022","journal-title":"Knowl Based Syst"},{"key":"2439_CR5","unstructured":"Deng C, Zhang C, He X (2010) Unsupervised feature selection for multi-cluster data. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, Washington, DC, USA"},{"key":"2439_CR6","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1073\/pnas.35.11.652","volume":"35","author":"K Fan","year":"1949","unstructured":"Fan K (1949) On a theorem of weyl concerning eigenvalues of linear transformations i. Proc Natl Acad Sci USA 35:652\u20135. https:\/\/doi.org\/10.1073\/pnas.35.11.652","journal-title":"Proc Natl Acad Sci USA"},{"issue":"3","key":"2439_CR7","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s00530-015-0494-1","volume":"23","author":"L Gao","year":"2017","unstructured":"Gao L, Song J, Liu X, Shao J, Liu J, Shao J (2017) Learning in high-dimensional multimedia data: the state of the art. Multimedia Systems 23(3):303\u2013313","journal-title":"Multimedia Systems"},{"issue":"5","key":"2439_CR8","doi-asserted-by":"publisher","first-page":"1672","DOI":"10.1109\/TCYB.2017.2712740","volume":"48","author":"Q Gao","year":"2018","unstructured":"Gao Q, Ma L, Liu Y, Gao X, Nie F (2018) Angle 2dpca: a new formulation for 2dpca. IEEE Trans Cybern 48(5):1672\u20131678. https:\/\/doi.org\/10.1109\/TCYB.2017.2712740","journal-title":"IEEE Trans Cybern"},{"key":"2439_CR9","doi-asserted-by":"publisher","unstructured":"Gong D, Medioni GG, Zhu S, Zhao X (2012) Kernelized temporal cut for online temporal segmentation and recognition, pp 229\u2013243. https:\/\/doi.org\/10.1007\/978-3-642-33712-3_17","DOI":"10.1007\/978-3-642-33712-3_17"},{"key":"2439_CR10","doi-asserted-by":"publisher","unstructured":"He X, Ji M, Zhang C, Bao H (2011) A variance minimization criterion to feature selection using laplacian regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence 33. https:\/\/doi.org\/10.1109\/TPAMI.2011.44","DOI":"10.1109\/TPAMI.2011.44"},{"key":"2439_CR11","unstructured":"He X, Niyogi P (2004) Locality preserving projections. In: Thrun S, Saul LK, Sch\u00f6lkopf B (eds) Advances in neural information processing systems . http:\/\/papers.nips.cc\/paper\/2359-locality-preserving-projections.pdf, vol 16. MIT Press, pp 153\u2013160"},{"issue":"1","key":"2439_CR12","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/j.patcog.2006.06.022","volume":"40","author":"D Hu","year":"2008","unstructured":"Hu D, Feng G, Zhou Z (2008) Two-dimensional locality preserving projections (2dlpp) with its application to palmprint recognition. Pattern Recogn 40(1):339\u2013342","journal-title":"Pattern Recogn"},{"key":"2439_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TII.2017.2725085","volume":"13","author":"K Hwang","year":"2017","unstructured":"Hwang K, Jiang W, Chen Y, Shi H (2017) Motion segmentation and balancing for a biped robot\u2019s imitation learning. IEEE Transactions on Industrial Informatics 13:1\u20131","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"2439_CR14","doi-asserted-by":"publisher","unstructured":"Kr\u00fcger B, V\u00f6gele A, Willig T, Yao A, Klein R, Weber A (2015) Efficient unsupervised temporal segmentation of motion data. IEEE Transactions on Multimedia, 2015. https:\/\/doi.org\/10.1104\/pp.79.3.699","DOI":"10.1104\/pp.79.3.699"},{"issue":"15","key":"2439_CR15","doi-asserted-by":"publisher","first-page":"9205","DOI":"10.1007\/s11042-016-3480-5","volume":"75","author":"M Li","year":"2016","unstructured":"Li M, Leung H (2016) Graph-based representation learning for automatic human motion segmentation. Multimedia Tools and Applications 75(15):9205\u20139224","journal-title":"Multimedia Tools and Applications"},{"key":"2439_CR16","unstructured":"Na L, Feng Z, Zhao X (2013) Human motion capture data segmentation based on graph partition. In: 2013 6th International congress on image and signal processing (CISP)"},{"key":"2439_CR17","doi-asserted-by":"publisher","unstructured":"Nie F, Wang X, Huang H (2014) Clustering and projected clustering with adaptive neighbors. In: Proceedings of the ACM SIGKDD International conference on knowledge discovery and data mining. https:\/\/doi.org\/10.1145\/2623330.2623726, pp 977\u2013986","DOI":"10.1145\/2623330.2623726"},{"key":"2439_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-017-5408-0","volume":"77","author":"C Qian","year":"2017","unstructured":"Qian C, Breckon T, Xu Z (2017) Clustering in pursuit of temporal correlation for human motion segmentation. Multimedia Tools and Applications 77:1\u201317. https:\/\/doi.org\/10.1007\/s11042-017-5408-0","journal-title":"Multimedia Tools and Applications"},{"key":"2439_CR19","unstructured":"Sheng L, Kang L, Yun F (2015) Temporal subspace clustering for human motion segmentation. In: 2015 IEEE International conference on computer vision (ICCV)"},{"key":"2439_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIP.2016.2514919","volume":"25","author":"J Song","year":"2016","unstructured":"Song J, Gao L, Nie F, Shen H, Yan Y, Sebe N (2016) Optimized graph learning using partial tags and multiple features for image and video annotation. IEEE Trans Image Process 25:1\u20131. https:\/\/doi.org\/10.1109\/TIP.2016.2601260","journal-title":"IEEE Trans Image Process"},{"key":"2439_CR21","doi-asserted-by":"publisher","unstructured":"Song J, Gao L, Puscas MM, Nie F, Shen F, Sebe N (2016) Joint graph learning and video segmentation via multiple cues and topology calibration. In: Proceedings of the 2016 ACM conference on multimedia conference, MM 2016, Amsterdam, The Netherlands, October 15-19, 2016, pp 831\u2013840. https:\/\/doi.org\/10.1145\/2964284.2964295","DOI":"10.1145\/2964284.2964295"},{"key":"2439_CR22","doi-asserted-by":"publisher","unstructured":"Turk M, Pentland A (1991) Face recognition using eigenfaces, pp 586\u2013591. https:\/\/doi.org\/10.1109\/CVPR.1991.139758","DOI":"10.1109\/CVPR.1991.139758"},{"key":"2439_CR23","unstructured":"V\u00f6gele A, Kr\u00fcger B, Klein R (2014) Efficient unsupervised temporal segmentation of human motion. In: 2014 ACM SIGGRAPH\/Eurographics symposium on computer animation"},{"key":"2439_CR24","doi-asserted-by":"publisher","unstructured":"Wang J (2012) Hessian locally linear embedding, pp 203\u2013220. https:\/\/doi.org\/10.1007\/978-3-642-27497-8_13","DOI":"10.1007\/978-3-642-27497-8_13"},{"key":"2439_CR25","unstructured":"Wang X, Liu Y, Nie F, Huang H (2015) Discriminative unsupervised dimensionality reduction. In: Proceedings of the twenty-fourth international joint conference on artificial intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, pp 3925\u20133931. http:\/\/ijcai.org\/Abstract\/15\/551"},{"key":"2439_CR26","doi-asserted-by":"publisher","unstructured":"Woraratpanya K, Sornnoi M, Leelaburanapong S, Titijaroonroj T, Varakulsiripunth R, Kuroki Y, Kato Y (2015) An improved 2dpca for face recognition under illumination effects, pp 448\u2013452. https:\/\/doi.org\/10.1109\/ICITEED.2015.7408988","DOI":"10.1109\/ICITEED.2015.7408988"},{"key":"2439_CR27","doi-asserted-by":"publisher","unstructured":"Yang J, Zhang D, Frangi A, Yang JY (2004) Two-dimensional pca: a new approach to appearance-based face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 26. https:\/\/doi.org\/10.1109\/TPAMI.2004.1261097","DOI":"10.1109\/TPAMI.2004.1261097"},{"issue":"1-3","key":"2439_CR28","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.neucom.2005.06.004","volume":"69","author":"D Zhang","year":"2005","unstructured":"Zhang D, Zhou ZH (2005) (2d)2pca: two-directional two-dimensional pca for efficient face representation and recognition. Neurocomputing 69(1-3):224\u2013231","journal-title":"Neurocomputing"},{"issue":"5","key":"2439_CR29","doi-asserted-by":"publisher","first-page":"1352","DOI":"10.1162\/NECO_a_00950","volume":"29","author":"X Zhao","year":"2017","unstructured":"Zhao X, Nie F, Wang S, Guo J, Xu P, Chen X (2017) Unsupervised 2d dimensionality reduction with adaptive structure learning. Neural Comput 29(5):1352\u20131374","journal-title":"Neural Comput"},{"issue":"2","key":"2439_CR30","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1109\/LSP.2018.2889925","volume":"26","author":"S Zhou","year":"2019","unstructured":"Zhou S, Zhang D (2019) Bilateral angle 2dpca for face recognition. IEEE Signal Process Lett 26(2):317\u2013321. https:\/\/doi.org\/10.1109\/LSP.2018.2889925","journal-title":"IEEE Signal Process Lett"},{"key":"2439_CR31","doi-asserted-by":"publisher","unstructured":"Zhu X, Lei C, Yu H, Li Y, Gan J, Zhang S (2018) Robust graph dimensionality reduction. In: Proceedings of the twenty-seventh international joint conference on artificial intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, pp 3257\u20133263. https:\/\/doi.org\/10.24963\/ijcai.2018\/452","DOI":"10.24963\/ijcai.2018\/452"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02439-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02439-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02439-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,5]],"date-time":"2022-03-05T05:27:03Z","timestamp":1646458023000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02439-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,18]]},"references-count":31,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["2439"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02439-7","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,18]]},"assertion":[{"value":"15 April 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 August 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}