{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T20:42:07Z","timestamp":1778272927307,"version":"3.51.4"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,7,24]],"date-time":"2018-07-24T00:00:00Z","timestamp":1532390400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61402079"],"award-info":[{"award-number":["61402079"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Project Program of the National Laboratory of Pattern Recognition","award":["201600022"],"award-info":[{"award-number":["201600022"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s11063-018-9886-5","type":"journal-article","created":{"date-parts":[[2018,7,24]],"date-time":"2018-07-24T20:06:42Z","timestamp":1532462802000},"page":"1071-1091","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["$$\\hbox {U}^2\\hbox {F}^2\\hbox {S}^2$$ U 2 F 2 S 2 : Uncovering Feature-level Similarities for Unsupervised Feature Selection"],"prefix":"10.1007","volume":"49","author":[{"given":"Xin","family":"Zheng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9123-140X","authenticated-orcid":false,"given":"Yanqing","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Xiangwei","family":"Kong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,24]]},"reference":[{"issue":"10","key":"9886_CR1","doi-asserted-by":"publisher","first-page":"5019","DOI":"10.1109\/TIP.2017.2726188","volume":"26","author":"R Wang","year":"2017","unstructured":"Wang R, Nie F, Hong R, Chang X, Yang X, Yu W (2017) Fast and orthogonal locality preserving projections for dimensionality reduction. IEEE Trans Image Process 26(10):5019\u20135030","journal-title":"IEEE Trans Image Process"},{"key":"9886_CR2","unstructured":"Han D, Kim J (2015) Unsupervised simultaneous orthogonal basis clustering feature selection. In: Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE Press, Boston, pp 5016\u20135023"},{"key":"9886_CR3","unstructured":"He R, Tan T, Wang L, Zheng WS (2012) $$l_{2, 1}$$ l 2 , 1 regularized correntropy for robust feature selection. In: Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE Press, Providence, pp 2504\u20132511"},{"issue":"10","key":"9886_CR4","doi-asserted-by":"publisher","first-page":"2010","DOI":"10.1109\/TPAMI.2015.2505311","volume":"38","author":"K Wang","year":"2016","unstructured":"Wang K, He R, Wang L, Wang W, Tan T (2016) Joint feature selection and subspace learning for cross-modal retrieval. IEEE Trans Pattern Anal Mach Intell 38(10):2010\u20132023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9886_CR5","doi-asserted-by":"crossref","unstructured":"Nie F, Zhu W, Li X (2016) Unsupervised feature selection with structured graph optimization. In: Thirtieth AAAI conference on artificial intelligence. AAAI Press, Phoenix, AZ, pp 1302\u20131308","DOI":"10.1609\/aaai.v30i1.10168"},{"key":"9886_CR6","unstructured":"Nie F, Xiang S, Jia Y, Zhang C, Yan S (2008) Trace ratio criterion for feature selection. In: Proceedings of the twenty-third AAAI conference on artificial intelligence. AAAI Press, Chicago, IL, pp 671\u2013676"},{"key":"9886_CR7","doi-asserted-by":"publisher","first-page":"1791","DOI":"10.1007\/s00521-012-0827-3","volume":"21","author":"S Yang","year":"2012","unstructured":"Yang S, Hou C, Nie F, Wu Y (2012) Unsupervised maximum margin feature selection via $$L_{2, 1}$$ L 2 , 1 -norm minimization. Neural Comput Appl 21:1791\u20131799","journal-title":"Neural Comput Appl"},{"key":"9886_CR8","doi-asserted-by":"crossref","unstructured":"Wang D, Nie F, Huang H (2014) Unsupervised feature selection via unified trace ratio formulation and K-means clustering (TRACK). In: European conference, ECML PKDD, vol 8726. Nancy, France, pp 306\u2013321","DOI":"10.1007\/978-3-662-44845-8_20"},{"key":"9886_CR9","unstructured":"He X, Cai D, Niyogi P (2005) Laplacian score for feature selection. In: Conference on neural information processing systems. NIPS, British Columbia, p 189"},{"key":"9886_CR10","doi-asserted-by":"crossref","unstructured":"Cai D, 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. ACM Press, Washington, pp 333\u2013342","DOI":"10.1145\/1835804.1835848"},{"key":"9886_CR11","unstructured":"Yang Y, Shen HT, Ma Z, Huang Z, Zhou X (2011) $$l_{2, 1}$$ l 2 , 1 -norm regularized discriminative feature selection for unsupervised learning. In: 21st International joint conference on artificial intelligence. AAAI Press, Barcelona, p 1589"},{"key":"9886_CR12","unstructured":"Li Z, Yang Y, Liu J, Zhou X, Lu H (2012) Unsupervised feature selection using nonnegative spectral analysis. In: 26th Conference on artificial intelligence. AAAI Press, Toronto, pp 1026\u20131032"},{"key":"9886_CR13","unstructured":"Qian M, Zhai C (2013) Robust unsupervised feature selection. In: 23rd International joint conference on artificial intelligence. AAAI Press, Beijing, pp 1621\u20131627"},{"key":"9886_CR14","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee DD, Seung HS (1999) Learning the parts of objects by non-negative matrix factorization. Nature 401:788\u2013791","journal-title":"Nature"},{"key":"9886_CR15","unstructured":"Ng AY, Jordan MI, Weiss Y (2001) On spectral clustering: analysis and an algorithm. In: Conference on neural information processing systems. NIPS, British Columbia, pp 849\u2013856"},{"key":"9886_CR16","unstructured":"Stella XY, Shi J (2003) Multiclass spectral clustering. In: 9th IEEE international conference on computer vision. IEEE Press, Nice, pp 313\u2013319"},{"key":"9886_CR17","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22:888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9886_CR18","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Luxburg Von","year":"2007","unstructured":"Von Luxburg U (2007) A tutorial on spectral clustering. Stat Comput 17:395\u2013416","journal-title":"Stat Comput"},{"key":"9886_CR19","doi-asserted-by":"crossref","unstructured":"Nie F, Ding C, Luo D, Huang H (2010) Improved MinMax cut graph clustering with nonnegative relaxation. In: European conference on machine learning and knowledge discovery in databases, vol 6322. Springer, pp 451\u2013466","DOI":"10.1007\/978-3-642-15883-4_29"},{"key":"9886_CR20","unstructured":"Viklands T (2006) Algorithms for the weighted orthogonal procrustes problem and other least squares problems. Doctoral dissertation, Datavetenskap"},{"key":"9886_CR21","unstructured":"Lee DD, Seung HS (2001) Algorithms for non-negative matrix factorization. In: Conference on neural information processing systems. NIPS, British Columbia, pp 556\u2013562"},{"key":"9886_CR22","unstructured":"Nie F, Huang H, Cai X, Ding CH (2010) Efficient and robust feature selection via joint $$l_{2, 1}$$ l 2 , 1 -norms minimization. In: Conference on neural information processing systems. NIPS, British Columbia, pp 1813\u20131821"},{"key":"9886_CR23","unstructured":"Nene SA, Nayar SK, Murase H (1996) Columbia object image library (COIL-20). Technical report, CUCS-005-96"},{"key":"9886_CR24","unstructured":"Fanty MA, Cole RA (1990) Spoken letter recognition. In: Conference on neural information processing systems. NIPS, Denver, pp 220\u2013226"},{"key":"9886_CR25","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1109\/34.291440","volume":"16","author":"JJ Hull","year":"1994","unstructured":"Hull JJ (1994) A database for handwritten text recognition research. IEEE Trans Pattern Anal Mach Intell 16:550\u2013554","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9886_CR26","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1109\/34.927464","volume":"23","author":"AS Georghiades","year":"2001","unstructured":"Georghiades AS, Belhumeur PN, Kriegman DJ (2001) From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Trans Pattern Anal Mach Intell 23:643\u2013660","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9886_CR27","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/978-3-642-72201-1_25","volume":"163","author":"DB Graham","year":"1998","unstructured":"Graham DB, Allinson NM (1998) Characterising virtual eigen signatures for general purpose face recognition. Face Recognit 163:446\u2013456","journal-title":"Face Recognit"},{"key":"9886_CR28","unstructured":"Samaria FS, Harter AC (1994) Parameterisation of a stochastic model for human face identification. In: 2nd IEEE workshop on applications of computer vision. IEEE Press, Sarasota, pp 138\u2013142"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-018-9886-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-018-9886-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-018-9886-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,28]],"date-time":"2022-08-28T03:51:27Z","timestamp":1661658687000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-018-9886-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,24]]},"references-count":28,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["9886"],"URL":"https:\/\/doi.org\/10.1007\/s11063-018-9886-5","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,24]]},"assertion":[{"value":"24 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}