{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T07:44:15Z","timestamp":1648971855029},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,1,15]],"date-time":"2012-01-15T00:00:00Z","timestamp":1326585600000},"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":[[2013,7]]},"DOI":"10.1007\/s00521-012-0813-9","type":"journal-article","created":{"date-parts":[[2012,1,16]],"date-time":"2012-01-16T11:54:04Z","timestamp":1326714844000},"page":"53-59","source":"Crossref","is-referenced-by-count":4,"title":["Improvement of the kernel minimum squared error model for fast feature extraction"],"prefix":"10.1007","volume":"23","author":[{"given":"Jinghua","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jane","family":"You","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,1,15]]},"reference":[{"issue":"2","key":"813_CR1","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1109\/72.914517","volume":"12","author":"KR Muller","year":"2001","unstructured":"Muller KR, Mika S, Ratsch G, Tsuda K, Scholkopf B (2001) An introduction to kernel-based learning algorithms. IEEE Trans Neural Netw 12(2):181\u2013201","journal-title":"IEEE Trans Neural Netw"},{"issue":"5","key":"813_CR2","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1109\/72.788640","volume":"10","author":"VN Vapnik","year":"1999","unstructured":"Vapnik VN (1999) An overview of statistical learning theory. IEEE Trans Neural Netw 10(5):988\u2013999","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"813_CR3","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/97.991133","volume":"9","author":"KI Kim","year":"2002","unstructured":"Kim KI, Jung K, Kim HJ (2002) Face recognition using kernel principal component analysis. IEEE Signal Process Lett 9(2):40\u201342","journal-title":"IEEE Signal Process Lett"},{"key":"813_CR4","doi-asserted-by":"crossref","unstructured":"Mika S, Ratsch G, Weston J, Scholkopf B, Mullers KR (1999) Fisher discriminant analysis with kernels. In: Proceedings of the 1999 IEEE signal processing society workshop neural networks for signal processing IX, pp 41\u201348","DOI":"10.1109\/NNSP.1999.788121"},{"key":"813_CR5","unstructured":"Xu J, Zhang X, Li Y (2001) Kernel MSE algorithm: a unified framework for KFD, LS-SVM and KRR, in Neural Networks, 2001. In: Proceedings. IJCNN \u201801. International joint conference on, vol 2. pp 1486\u20131491"},{"key":"813_CR6","unstructured":"Saunders C, Gammerman A, Vovk V (1998) Ridge regression learning algorithm in dual variables. Presented at the proceedings of the 15th international conference on machine learning, vol 37. pp 515\u2013521"},{"issue":"3","key":"813_CR7","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JAK Suykens","year":"1999","unstructured":"Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Process Lett 9(3):293\u2013300","journal-title":"Neural Process Lett"},{"issue":"10","key":"813_CR8","doi-asserted-by":"crossref","first-page":"2385","DOI":"10.1162\/089976600300014980","volume":"12","author":"G Baudat","year":"2000","unstructured":"Baudat G, Anouar F (2000) Generalized discriminant analysis using a kernel approach. Neural Comput 12(10):2385\u20132404","journal-title":"Neural Comput"},{"issue":"4\u20136","key":"813_CR9","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1016\/j.neucom.2009.08.014","volume":"73","author":"C Zhang","year":"2010","unstructured":"Zhang C, Nie F, Xiang S (2010) A general kernelization framework for learning algorithms based on kernel PCA. Neurocomputing 73(4\u20136):959\u2013967","journal-title":"Neurocomputing"},{"issue":"17","key":"813_CR10","doi-asserted-by":"crossref","first-page":"3313","DOI":"10.1016\/j.neucom.2011.05.014","volume":"74","author":"J Wang","year":"2011","unstructured":"Wang J, Li Q, You J, Zhao Q (2011) Fast kernel Fisher discriminant analysis via approximating the kernel principal component analysis. Neurocomputing 74(17):3313\u20133322","journal-title":"Neurocomputing"},{"issue":"6","key":"813_CR11","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1016\/j.patcog.2003.10.006","volume":"37","author":"Y Xu","year":"2004","unstructured":"Xu Y, Yang J-Y, Yang J (2004) A reformative kernel Fisher discriminant analysis. Pattern Recogn 37(6):1299\u20131302","journal-title":"Pattern Recogn"},{"issue":"6","key":"813_CR12","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1016\/j.patcog.2005.10.029","volume":"39","author":"Y Xu","year":"2006","unstructured":"Xu Y, Zhang D, Jin Z, Li M, Yang J-Y (2006) A fast kernel-based nonlinear discriminant analysis for multi-class problems. Pattern Recogn 39(6):1026\u20131033","journal-title":"Pattern Recogn"},{"issue":"10","key":"813_CR13","doi-asserted-by":"crossref","first-page":"1654","DOI":"10.1016\/j.neucom.2011.01.020","volume":"74","author":"Y-P Zhao","year":"2011","unstructured":"Zhao Y-P, Du Z-H, Zhang Z-A, Zhang H-B (2011) A fast method of feature extraction for kernel MSE. Neurocomputing 74(10):1654\u20131663","journal-title":"Neurocomputing"},{"issue":"16\u201318","key":"813_CR14","first-page":"3334","volume":"73","author":"Q Zhu","year":"2011","unstructured":"Zhu Q (2011) Reformative nonlinear feature extraction using kernel MSE. Neurocomputing 73(16\u201318):3334\u20133337","journal-title":"Neurocomputing"},{"key":"813_CR15","unstructured":"Xu Y, Yang J-Y, Lu J-F (2005) An efficient kernel-based nonlinear regression method for two-class classification, in machine learning and cybernetics, 2005. In: Proceedings of 2005 international conference on, vol 7. pp 4442\u20134445"},{"issue":"13\u201315","key":"813_CR16","doi-asserted-by":"crossref","first-page":"1806","DOI":"10.1016\/j.neucom.2005.08.009","volume":"69","author":"Y-J Zheng","year":"2006","unstructured":"Zheng Y-J, Yang J, Yang J-Y, Wu X-J (2006) A reformative kernel Fisher discriminant algorithm and its application to face recognition. Neurocomputing 69(13\u201315):1806\u20131810","journal-title":"Neurocomputing"},{"issue":"17","key":"813_CR17","doi-asserted-by":"crossref","first-page":"3009","DOI":"10.1016\/j.neucom.2011.04.004","volume":"74","author":"Y-P Zhao","year":"2011","unstructured":"Zhao Y-P, Sun J-G, Du Z-H, Zhang Z-A, Zhang H-B (2011) Pruning least objective contribution in KMSE. Neurocomputing 74(17):3009\u20133018","journal-title":"Neurocomputing"},{"issue":"5","key":"813_CR18","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1016\/j.patcog.2008.09.028","volume":"42","author":"Y-P Zhao","year":"2009","unstructured":"Zhao Y-P, Sun J-G (2009) Recursive reduced least squares support vector regression. Pattern Recogn 42(5):837\u2013842","journal-title":"Pattern Recogn"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0813-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-012-0813-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0813-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:14:38Z","timestamp":1559096078000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-012-0813-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,1,15]]},"references-count":18,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,7]]}},"alternative-id":["813"],"URL":"https:\/\/doi.org\/10.1007\/s00521-012-0813-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,1,15]]}}}