{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:56:24Z","timestamp":1760385384225},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2014,8,14]],"date-time":"2014-08-14T00:00:00Z","timestamp":1407974400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1007\/s13042-014-0292-7","type":"journal-article","created":{"date-parts":[[2014,8,13]],"date-time":"2014-08-13T16:54:01Z","timestamp":1407948841000},"page":"765-772","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Two-stage extreme learning machine for high-dimensional data"],"prefix":"10.1007","volume":"7","author":[{"given":"Peng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihua","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyuan","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guopeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,8,14]]},"reference":[{"issue":"16","key":"292_CR1","doi-asserted-by":"crossref","first-page":"2520","DOI":"10.1016\/j.neucom.2010.12.034","volume":"74","author":"Xizhao Wang","year":"2011","unstructured":"Wang Xizhao, Chen Aixia, Feng Huimin (2011) Upper integral network with extreme learning mechanism. Neurocomputing 74(16):2520\u20132525","journal-title":"Neurocomputing"},{"key":"292_CR2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.neucom.2011.12.053","volume":"102","author":"Xizhao Wang","year":"2013","unstructured":"Wang Xizhao, Shao Qingyan, Qing Miao, Zhai Junhai (2013) Architecture selection for networks trained with extreme learning machine using localized generalization error model. Neurocomputing 102:3\u20139","journal-title":"Neurocomputing"},{"key":"292_CR3","unstructured":"Fr\u00e9nay B, Verleysen M (2010). Using SVMs with randomised feature spaces: an extreme learning approach. In: European Symposium on Artificial Neural Networks (ESANN): 315\u2013320"},{"issue":"1","key":"292_CR4","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/TNN.2009.2036259","volume":"21","author":"Y Miche","year":"2010","unstructured":"Miche Y, Sorjamaa A, Bas P, Simula O, Jutten C, Lendasse A (2010) OP-ELM: optimally pruned extreme learning machine. IEEE Trans Neural Netw 21(1):158\u2013162","journal-title":"IEEE Trans Neural Netw"},{"key":"292_CR5","doi-asserted-by":"crossref","unstructured":"Deng W, Zheng Q, Chen L (2009). Regularized extreme learning machine. In: IEEE Symposium on Computational Intelligence and Data Mining (CIDM):389\u2013395","DOI":"10.1109\/CIDM.2009.4938676"},{"issue":"2","key":"292_CR6","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s13042-011-0019-y","volume":"2","author":"GB Huang","year":"2011","unstructured":"Huang GB, Wang DH, Lan Y (2011) Extreme learning machines: a survey. Int J Mach Learn Cyber 2(2):107\u2013122","journal-title":"Int J Mach Learn Cyber"},{"issue":"1","key":"292_CR7","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neucom.2008.01.016","volume":"72","author":"G Wang","year":"2008","unstructured":"Wang G, Zhao Y, Wang D (2008) A protein secondary structure prediction framework based on the Extreme Learning Machine. Neurocomputing 72(1):262\u2013268","journal-title":"Neurocomputing"},{"key":"292_CR8","unstructured":"Lan Y, Soh YC, Huang GB (2008). Extreme Learning Machine based bacterial protein subcellular localization prediction. In: IEEE International Joint Conference on Neural Networks (IJCNN):1859\u20131863"},{"issue":"10","key":"292_CR9","doi-asserted-by":"crossref","first-page":"2588","DOI":"10.1016\/j.patcog.2011.03.013","volume":"44","author":"AA Mohammed","year":"2011","unstructured":"Mohammed AA, Minhas R, Wu Jonathan QM, Sid-Ahmed MA (2011) Human face recognition based on multidimensional PCA and extreme learning machine. Pattern Recogn 44(10):2588\u20132597","journal-title":"Pattern Recogn"},{"issue":"16","key":"292_CR10","doi-asserted-by":"crossref","first-page":"2483","DOI":"10.1016\/j.neucom.2010.11.030","volume":"74","author":"Y Wang","year":"2011","unstructured":"Wang Y, Cao F, Yuan Y (2011) A study on effectiveness of extreme learning machine. Neurocomputing 74(16):2483\u20132490","journal-title":"Neurocomputing"},{"key":"292_CR11","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.neucom.2012.02.042","volume":"102","author":"F Cao","year":"2013","unstructured":"Cao F, Liu B, Sun Park D (2013) Image classification based on effective extreme learning machine. Neurocomputing 102:90\u201397","journal-title":"Neurocomputing"},{"key":"292_CR12","first-page":"2399","volume":"7","author":"M Belkin","year":"2006","unstructured":"Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7:2399\u20132434","journal-title":"J Mach Learn Res"},{"issue":"1","key":"292_CR13","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.patcog.2008.07.010","volume":"42","author":"H Xue","year":"2009","unstructured":"Xue H, Chen S, Yang Q (2009) Discriminatively regularized least-squares classification. Pattern Recogn 42(1):93\u2013104","journal-title":"Pattern Recogn"},{"issue":"16","key":"292_CR14","doi-asserted-by":"crossref","first-page":"2566","DOI":"10.1016\/j.neucom.2010.12.043","volume":"74","author":"J Liu","year":"2011","unstructured":"Liu J, Chen Y, Liu M, Zhao Z (2011) SELM: semi-supervised ELM with application in sparse calibrated location estimation. Neurocomputing 74(16):2566\u20132572","journal-title":"Neurocomputing"},{"issue":"12","key":"292_CR15","first-page":"3351","volume":"9","author":"L Li","year":"2012","unstructured":"Li L, Liu D, Ouyang J (2012) A new regularization classification method based on extreme learning machine in network data. J Inf Comput Sci 9(12):3351\u20133363","journal-title":"J Inf Comput Sci"},{"issue":"2","key":"292_CR16","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"GB Huang","year":"2012","unstructured":"Huang GB, Zhou H, Ding X, Zhang R (2012) Extreme learning machine for regression and multiclass classification. IEEE T SYST MAN CY B 42(2):513\u2013529","journal-title":"IEEE T SYST MAN CY B"},{"key":"292_CR17","doi-asserted-by":"crossref","unstructured":"Cai D, He X, Han J (2007). Spectral regression for efficient regularized subspace learning. In: IEEE 11th International Conference on Computer Vision (ICCV):1\u20138","DOI":"10.1109\/ICCV.2007.4408855"},{"issue":"9","key":"292_CR18","doi-asserted-by":"crossref","first-page":"1406","DOI":"10.1109\/TKDE.2010.259","volume":"23","author":"X He","year":"2011","unstructured":"He X, Cai D, Shao Y, Bao H, Han J (2011) Laplacian regularized gaussian mixture model for data clustering. IEEE T KNOWL DATA EN 23(9):1406\u20131418","journal-title":"IEEE T KNOWL DATA EN"},{"issue":"5","key":"292_CR19","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1109\/TPAMI.2005.92","volume":"27","author":"KC Lee","year":"2005","unstructured":"Lee KC, Ho J, Kriegman DJ (2005) Acquiring linear subspaces for face recognition under variable lighting. IEEE T PATTERN ANAL 27(5):684\u2013698","journal-title":"IEEE T PATTERN ANAL"},{"issue":"4","key":"292_CR20","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s13042-011-0024-1","volume":"2","author":"J Wu","year":"2011","unstructured":"Wu J, Wang ST, Chung FL (2011) Positive and negative fuzzy rule system, extreme learning machine and image classification. Int J Mach Learn Cyber 2(4):261\u2013271","journal-title":"Int J Mach Learn Cyber"},{"issue":"7","key":"292_CR21","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"PN Belhumeur","year":"1997","unstructured":"Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE T PATTERN ANAL 19(7):711\u2013720","journal-title":"IEEE T PATTERN ANAL"},{"key":"292_CR22","unstructured":"Vink JP, de Haan G (2013). Comparison of machine learning techniques for target detection. ARTIF INTELL REV: 1\u201315"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0292-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-014-0292-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0292-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0292-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T10:31:16Z","timestamp":1559471476000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-014-0292-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,14]]},"references-count":22,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2016,10]]}},"alternative-id":["292"],"URL":"https:\/\/doi.org\/10.1007\/s13042-014-0292-7","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,14]]}}}