{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:15:26Z","timestamp":1760955326141},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2012,1,18]],"date-time":"2012-01-18T00:00:00Z","timestamp":1326844800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2012,10]]},"DOI":"10.1007\/s00521-012-0827-3","type":"journal-article","created":{"date-parts":[[2012,1,17]],"date-time":"2012-01-17T03:55:22Z","timestamp":1326772522000},"page":"1791-1799","source":"Crossref","is-referenced-by-count":30,"title":["Unsupervised maximum margin feature selection via L 2,1-norm minimization"],"prefix":"10.1007","volume":"21","author":[{"given":"Shizhun","family":"Yang","sequence":"first","affiliation":[]},{"given":"Chenping","family":"Hou","sequence":"additional","affiliation":[]},{"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,1,18]]},"reference":[{"key":"827_CR1","doi-asserted-by":"crossref","unstructured":"Zhao Z, Wang L, Liu H (2010) Efficient spectral feature selection with minimum redundancy. In: Proceedings of the 24th AAAI conference on artificial intelligence (AAAI-10), pp 673\u2013678","DOI":"10.1609\/aaai.v24i1.7671"},{"key":"827_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-5689-3","volume-title":"Feature selection for knowledge discovery and data mining","author":"H Liu","year":"1998","unstructured":"Liu H, Motoda H (1998) Feature selection for knowledge discovery and data mining. Springer, Berlin"},{"key":"827_CR3","volume-title":"Elements of information theory","author":"TM Cover","year":"2006","unstructured":"Cover TM, Thomas JA (2006) Elements of information theory, 2nd edn. Wiley-Interscience, Hoboken","edition":"2"},{"key":"827_CR4","volume-title":"Pattern classification","author":"RO Duda","year":"2000","unstructured":"Duda RO, Hart PE, Stork DG (2000) Pattern classification, 2nd edn. Wiley-Interscience, Hoboken","edition":"2"},{"issue":"1","key":"827_CR5","doi-asserted-by":"crossref","first-page":"59","DOI":"10.2307\/2685263","volume":"42","author":"JL Rodgers","year":"1988","unstructured":"Rodgers JL, Nicewander WA (1988) Thirteen ways to look at the correlation coefficient. Am Stat 42(1):59\u201366","journal-title":"Am Stat"},{"key":"827_CR6","doi-asserted-by":"crossref","unstructured":"Zhao Z, Liu H (2007) Spectral feature selection for supervised and unsupervised learning. In: Proceedings of the 24th international conference on machine learning (ICML-07), pp 1151\u20131157","DOI":"10.1145\/1273496.1273641"},{"key":"827_CR7","doi-asserted-by":"crossref","unstructured":"Zhao Z, Liu H (2007) Semi-supervised feature selection via spectral analysis. In: Proceedings of the 7th SIAM international conference on data mining (SDM-07), pp 641\u2013646","DOI":"10.1137\/1.9781611972771.75"},{"key":"827_CR8","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 (KDD-10), pp 333\u2013342","DOI":"10.1145\/1835804.1835848"},{"key":"827_CR9","first-page":"22","volume":"36","author":"WJ Krzanowski","year":"1987","unstructured":"Krzanowski WJ (1987) Selection of variables to preserve multivariate data structure, Using Principal Component Analysis. Appl Stat J R Stat Soc Ser C 36:22\u201333","journal-title":"Appl Stat J R Stat Soc Ser C"},{"key":"827_CR10","unstructured":"He X, Cai D, Niyogi P (2006) Laplacian score for feature selection. In: Proceedings of the annual conference on advances in neural information processing systems (NIPS-06)"},{"key":"827_CR11","unstructured":"Boutsidis C, Mahoney MW, Drineas P (2009) Unsupervised feature selection for the k-means clustering problem. In: Proceedings of the annual conference on advances in neural information processing systems (NIPS-09)"},{"issue":"1","key":"827_CR12","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1109\/TNN.2005.860852","volume":"17","author":"H Li","year":"2006","unstructured":"Li H, Jiang T, Zhang K (2006) Efficient and robust feature extraction by maximum margin criterion. IEEE Trans Neural Netw 17(1):157\u2013165","journal-title":"IEEE Trans Neural Netw"},{"key":"827_CR13","doi-asserted-by":"crossref","unstructured":"Ding C, Zhou D, He X, Zha H (2006) R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. In: Proceedings of the 23rd international conference on machine learning (ICML-06), pp 281\u2013288","DOI":"10.1145\/1143844.1143880"},{"key":"827_CR14","doi-asserted-by":"crossref","unstructured":"Argyriou A, Evgeniou T, Pontil M (2007) Multi-task feature learning. In: Proceedings of the annual conference on advances in neural information processing systems (NIPS-07)","DOI":"10.2139\/ssrn.1031158"},{"key":"827_CR15","unstructured":"Obozinski G, Taskar B, Jordan M (2006) Multi-task feature selection. Technical report, Department of Statistics, University of California, Berkeley"},{"key":"827_CR16","unstructured":"Liu J, Ji S, Ye J (2009) Multi-task feature learning via efficient L2,1-norm minimization. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence (UAI-09)"},{"key":"827_CR17","unstructured":"Nie F, Huang H, Cai X, Ding C (2010) Efficient and robust feature selection via joint l2,1-norms minimization. In: Proceedings of the annual conference on advances in neural information processing systems (NIPS-10)"},{"key":"827_CR18","unstructured":"http:\/\/images.ee.umist.ac.uk\/danny\/database.html"},{"key":"827_CR19","unstructured":"http:\/\/www.zjucadcg.cn\/dengcai\/Data\/FaceData.html"},{"key":"827_CR20","unstructured":"http:\/\/www1.cs.columbia.edu\/CAVE\/research\/softlib\/coil-20.html"},{"key":"827_CR21","unstructured":"http:\/\/archive.ics.uci.edu\/ml\/machine-learning-databases\/isolet"},{"key":"827_CR22","unstructured":"http:\/\/archive.ics.uci.edu\/ml\/machine-learning-databases\/undocumented\/connectionist-bench\/sonar\/"},{"key":"827_CR23","unstructured":"http:\/\/archive.ics.uci.edu\/ml\/machine-learning-databases\/breast-cancer-wisconsin\/"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0827-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-012-0827-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0827-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T17:49:49Z","timestamp":1686678589000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-012-0827-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,1,18]]},"references-count":23,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2012,10]]}},"alternative-id":["827"],"URL":"https:\/\/doi.org\/10.1007\/s00521-012-0827-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,1,18]]}}}