{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T21:42:29Z","timestamp":1706305349541},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,4,22]],"date-time":"2016-04-22T00:00:00Z","timestamp":1461283200000},"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":["61272083"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Education Department of Anhui Province","award":["KJ2013B009"]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1007\/s10044-016-0547-x","type":"journal-article","created":{"date-parts":[[2016,4,22]],"date-time":"2016-04-22T14:54:53Z","timestamp":1461336893000},"page":"1077-1089","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["\u03c5-Support vector machine based on discriminant sparse neighborhood preserving embedding"],"prefix":"10.1007","volume":"20","author":[{"given":"Bingwu","family":"Fang","sequence":"first","affiliation":[]},{"given":"Zhiqiu","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,4,22]]},"reference":[{"key":"547_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"V Vapnik","year":"1995","unstructured":"Vapnik V (1995) The nature of statistical learning theory. Springer, New York"},{"issue":"5","key":"547_CR2","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1109\/72.788641","volume":"10","author":"B Scholkopf","year":"1999","unstructured":"Scholkopf B, Mika S, Burges CJC, Knirsch P, Muller KR, Ratsch G, Smola AJ (1999) Input space vs. feature space in kernel-based methods. IEEE Trans Neural Netw 10(5):1000\u20131017","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"547_CR3","first-page":"305","volume":"4","author":"WJ Tao","year":"2010","unstructured":"Tao WJ, Wang ST, Hu WJ, Ying WH (2010) \u03c1-margin kernel learning machine with magnetic field effect for both binary classification and novelty detection. Int J Softw Inform 4(3):305\u2013324","journal-title":"Int J Softw Inform"},{"issue":"6","key":"547_CR4","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/TFUZZ.2005.859320","volume":"13","author":"YQ Wang","year":"2005","unstructured":"Wang YQ, Wang SY, Lai KK (2005) A new fuzzy support vector machine to evaluate credit risk. IEEE Trans Fuzzy Sys 13(6):820\u2013831","journal-title":"IEEE Trans Fuzzy Sys"},{"key":"547_CR5","doi-asserted-by":"crossref","unstructured":"Qian MJ, Nie FP, Zhang CS (2009) Probabilistic labeled Semi-supervised SVM. 2009 IEEE International Conference on Data Mining Workshops, pp. 394\u2013399","DOI":"10.1109\/ICDMW.2009.14"},{"key":"547_CR6","doi-asserted-by":"crossref","unstructured":"Qian MJ, Nie FP, Zhang CS (2009) Efficient multi-class unlabeled constrained semi-supervised SVM. Proceedings of the 18th ACM conference on Information and knowledge management, pp 1665\u20131668","DOI":"10.1145\/1645953.1646199"},{"key":"547_CR7","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TMM.2005.861375","volume":"8","author":"DC Tao","year":"2006","unstructured":"Tao DC, Tang XO, Li XL, Rui Y (2006) Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm. IEEE Trans Multimedia 8:716\u2013727","journal-title":"IEEE Trans Multimedia"},{"issue":"1","key":"547_CR8","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1109\/72.822516","volume":"11","author":"SS Keerthi","year":"2000","unstructured":"Keerthi SS, Shevade SK, Bhattacharyya C, Murthy KPK (2000) A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Trans Neural Netw 11(1):200\u2013211","journal-title":"IEEE Trans Neural Netw"},{"issue":"1\u20133","key":"547_CR9","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1023\/A:1012474916001","volume":"46","author":"GW Flake","year":"2002","unstructured":"Flake GW, Lawrence S (2002) Efficient SVM regression training with SMO. Mach Learn 46(1\u20133):271\u2013290","journal-title":"Mach Learn"},{"key":"547_CR10","doi-asserted-by":"crossref","DOI":"10.1142\/5089","volume-title":"Least squares support vectors machines","author":"JA Suykens","year":"2002","unstructured":"Suykens JA, Van Gestel T, De Brabanter J, De Moor B, Vandewalle J (2002) Least squares support vectors machines. World Scintific, Singapore"},{"issue":"5","key":"547_CR11","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1162\/089976600300015565","volume":"12","author":"B Sch\u00f6lkopf","year":"2000","unstructured":"Sch\u00f6lkopf B, Smola AJ, Williamson RC, Bartlett PL (2000) New support vector algorithms. Neural Comput 12(5):1207\u20131245","journal-title":"Neural Comput"},{"issue":"3","key":"547_CR12","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1109\/TNN.2004.824270","volume":"15","author":"MW Chang","year":"2004","unstructured":"Chang MW, Lin CJ, Weng RCH (2004) Analysis of switching dynamics with competing support vector machines. IEEE Trans Neural Netw 15(3):720\u2013727","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"547_CR13","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1109\/TNN.2004.841776","volume":"16","author":"SN Pang","year":"2005","unstructured":"Pang SN, Kim D, Bang SY (2005) Face membership authentication using SVM classification tree generated by membership-based LLE data partition. IEEE Trans Neural Netw 16(2):436\u2013446","journal-title":"IEEE Trans Neural Netw"},{"issue":"6","key":"547_CR14","doi-asserted-by":"crossref","first-page":"1555","DOI":"10.1109\/TNN.2004.837780","volume":"15","author":"S Li","year":"2004","unstructured":"Li S, Kwok JTY, Tsang IWH, Wang Y (2004) Fusing images with different focuses using support vector machines. IEEE Trans Neural Netw 15(6):1555\u20131561","journal-title":"IEEE Trans Neural Netw"},{"key":"547_CR15","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 example. J Mach Learn Res 7:2399\u20132434","journal-title":"J Mach Learn Res"},{"issue":"1","key":"547_CR16","doi-asserted-by":"crossref","first-page":"017202","DOI":"10.1117\/1.3067869","volume":"48","author":"FP Nie","year":"2009","unstructured":"Nie FP, Xiang SM, Yang YQ, Zhang CS (2009) Orthogonal locality minimizing globality maximizing projections for feature extraction. Optical Eng 48(1):017202\u2013017205","journal-title":"Optical Eng"},{"key":"547_CR17","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.1016\/j.patcog.2013.01.010","volume":"46","author":"Y Mu","year":"2013","unstructured":"Mu Y, Ding W, Tao DC (2013) Local discriminative distance metrics ensemble learning. Pattern Recogn 46:2337\u20132349","journal-title":"Pattern Recogn"},{"issue":"10","key":"547_CR18","doi-asserted-by":"crossref","first-page":"2397","DOI":"10.1109\/TKDE.2014.2300480","volume":"26","author":"Y Mu","year":"2014","unstructured":"Mu Y, Lo HZ, Ding W, Amaral K, Crouter SE (2014) Bipart: learning block structure for activity detection. IEEE Trans Knowl Data Eng 26(10):2397\u20132409","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"547_CR19","doi-asserted-by":"crossref","unstructured":"Mu Y, Lo HZ, Ding W, Tao DC (2014) Face recognition from multiple images per subject. Proceedings of the 22nd ACM International Conference on Multimedia, pp 889\u2013892","DOI":"10.1145\/2647868.2655054"},{"issue":"8","key":"547_CR20","doi-asserted-by":"crossref","first-page":"2753","DOI":"10.1016\/j.patcog.2010.02.013","volume":"43","author":"XM Wang","year":"2010","unstructured":"Wang XM, Chung FL, Wang ST (2010) On minimum class locality preserving variance support vector machine. Pattern Recogn 43(8):2753\u20132762","journal-title":"Pattern Recogn"},{"issue":"10","key":"547_CR21","doi-asserted-by":"crossref","first-page":"2551","DOI":"10.1109\/TIP.2007.904408","volume":"16","author":"S Zafeiriou","year":"2007","unstructured":"Zafeiriou S, Tefas A, Pitas I (2007) Minimum class variance support vector machines. IEEE Trans Image Process 16(10):2551\u20132564","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"547_CR22","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1109\/TNN.2007.910733","volume":"19","author":"HX Wang","year":"2008","unstructured":"Wang HX, Chen S, Hu LZ, Zheng WM (2008) Locality-preserved maximum information projection. IEEE Trans Neural Netw 19(4):571\u2013585","journal-title":"IEEE Trans Neural Netw"},{"issue":"7","key":"547_CR23","doi-asserted-by":"crossref","first-page":"1921","DOI":"10.1109\/TIP.2010.2044958","volume":"19","author":"FP Nie","year":"2010","unstructured":"Nie FP, Xu D, Tsang IWH, Zhang CS (2010) Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction. IEEE Trans Image Process 19(7):1921\u20131932","journal-title":"IEEE Trans Image Process"},{"key":"547_CR24","unstructured":"Nie FP, Xiang SM, Zhang CS (2007) Neighborhood minmax projections. Proceedings of the 20th International Joint Conference on Artifical intelligence, pp 993\u2013998"},{"issue":"1","key":"547_CR25","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1109\/TKDE.2010.209","volume":"24","author":"BB Ni","year":"2012","unstructured":"Ni BB, Yan SC, Kassim AA (2012) Learning a propagable graph for semisupervised learning: classification and regression. IEEE Trans Knowl Data Eng 24(1):114\u2013126","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"10","key":"547_CR26","doi-asserted-by":"crossref","first-page":"3572","DOI":"10.1016\/j.patcog.2010.04.007","volume":"43","author":"GF Lu","year":"2010","unstructured":"Lu GF, Lin Z, Jin Z (2010) Face recognition using discriminant locality preserving projection based on maximum margin criterion. Pattern Recogn 43(10):3572\u20133579","journal-title":"Pattern Recogn"},{"key":"547_CR27","unstructured":"Yan SC, Wang H (SDM09) Semi-supervised learning by sparse representation. SIAM International Conference on Data Mining"},{"issue":"9","key":"547_CR28","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1109\/TCSVT.2011.2138790","volume":"21","author":"Y Xu","year":"2011","unstructured":"Xu Y, Zhang D, Yang J, Yang JY (2011) A two-phase test sample sparse representation method for use with face recognition. IEEE Trans Circuits Syst Video Technol 21(9):1255\u20131262","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"3","key":"547_CR29","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1016\/j.patcog.2011.08.022","volume":"45","author":"J Yang","year":"2012","unstructured":"Yang J, Zhang L, Xu Y, Yang JY (2012) Beyond sparsity: the role of L1-optimizer in pattern classification. Pattern Recogn 45(3):1104\u20131118","journal-title":"Pattern Recogn"},{"issue":"6","key":"547_CR30","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1162\/089976603321780317","volume":"15","author":"M Belkin","year":"2003","unstructured":"Belkin M, Niyogi P (2003) Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput 15(6):1373\u20131396","journal-title":"Neural Comput"},{"issue":"2","key":"547_CR31","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright J, Yang AY, Ganesh A, Sastry SS, Ma Y (2009) Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell 31(2):210\u2013227","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"547_CR32","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/5583.001.0001","volume-title":"Probabilistic model of the brain: preception and neural function","author":"R Rao","year":"2002","unstructured":"Rao R, Olshausen B, Lewicki M (2002) Probabilistic model of the brain: preception and neural function. MIT Press, Cambridge"},{"key":"547_CR33","unstructured":"Zhang X (NNSP\u201999) Using class-center vectors to build support vector machines, in proc. IEEE Workshop Neural Netw. Signal Process. Madison, pp 3\u201311"},{"key":"547_CR34","unstructured":"Cai D, He XF, Zhou K, Hang JW, Bao HJ (2007) Locality sensitive discriminant analysis. In: Proceeding of the 20th International Joint Conference on Artificial Intelligence. IJCAI press, Hyderabad, India, 708\u2013713"},{"key":"547_CR35","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1016\/j.neucom.2009.08.014","volume":"73","author":"CS Zhang","year":"2010","unstructured":"Zhang CS, Nie FP (2010) A general kernalization framework for learning algorithms based on kernel PCA. Neurocomputing 73:959\u2013967","journal-title":"Neurocomputing"},{"issue":"4","key":"547_CR36","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.1109\/TSP.2011.2179539","volume":"60","author":"L Zhang","year":"2012","unstructured":"Zhang L, Zhou WD, Chang PC, Liu J, Yang Z, Wang T, Li FZ (2012) Kernel sparse representation-based classifier. IEEE Trans Signal Process 60(4):1684\u20131695","journal-title":"IEEE Trans Signal Process"},{"key":"547_CR37","doi-asserted-by":"crossref","unstructured":"Gao SH, Tsang IWH, Chia LT (2010) Kernel sparse representation for image classification and face recognition. In: Proceedings 11th Eur. Conference Comput. Vis.: Part IV","DOI":"10.1007\/978-3-642-15561-1_1"},{"issue":"4","key":"547_CR38","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1016\/j.neucom.2006.09.005","volume":"70","author":"Y Xu","year":"2007","unstructured":"Xu Y, Zhang D, Song FX, Yang JY, Jing Z, Li M (2007) A method for speeding up feature extraction based on KPCA. Neurocomputing 70(4):1056\u20131061","journal-title":"Neurocomputing"},{"issue":"1","key":"547_CR39","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1109\/TNN.2005.860852","volume":"17","author":"HF Li","year":"2006","unstructured":"Li HF, Jiang T, Zhang KS (2006) Efficient and robust feature extraction by maximun margin criterion. IEEE Transaction on Neural Netw 17(1):157\u2013165","journal-title":"IEEE Transaction on Neural Netw"},{"issue":"6","key":"547_CR40","doi-asserted-by":"crossref","first-page":"1862","DOI":"10.1109\/TNN.2007.900813","volume":"18","author":"J Liu","year":"2007","unstructured":"Liu J, Chen SC, Tan XY, Zhang DQ (2007) Comments on efficient and robust feature extraction by maximum margin criterion. IEEE Trans Neural Netw 18(6):1862\u20131864","journal-title":"IEEE Trans Neural Netw"},{"issue":"11","key":"547_CR41","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1109\/TPAMI.2009.24","volume":"31","author":"MR Wu","year":"2009","unstructured":"Wu MR, Yie JP (2009) A small sphere and large margin approach for novelty detection using training data with outliers. IEEE Trans Pattern Anal Mach Intell 31(11):2088\u20132092","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"547_CR42","unstructured":"Blake C, Merz C, UCI Repository of machine learning databases. http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html . Accessed 20 Mar 2015"},{"key":"547_CR43","unstructured":"Yang AY, Sastry SS, Ganesh A, Ma Y (2010) Fast \u21131-minimization algorithms and an application in robust face recognition: A review. In: 17th IEEE International Conference on Image Processing, IEEE, Hong Kong, pp 1849\u20131852"},{"key":"547_CR44","unstructured":"Yale Univ, Face Database. http:\/\/www.cvc.yale.edu\/projects\/yalefaces\/yalefaces.html . Accessed 20 Mar 2015"},{"issue":"1","key":"547_CR45","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/TPAMI.2004.1261097","volume":"26","author":"J Yang","year":"2004","unstructured":"Yang J, Zhang D, Frangi AF, Yang JY (2004) Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans Pattern Anal Mach Intell 26(1):131\u2013137","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"11","key":"547_CR46","doi-asserted-by":"crossref","first-page":"2651","DOI":"10.1109\/TPAMI.2013.88","volume":"35","author":"ZL Jiang","year":"2013","unstructured":"Jiang ZL, Lin Z, Davis LS (2013) Label consistent K-SVD: learning a discriminative dictionary for recognition. IEEE Trans Pattern Anal Mach Intell 35(11):2651\u20132664","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-016-0547-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-016-0547-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-016-0547-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-016-0547-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T23:36:44Z","timestamp":1567813004000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-016-0547-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,22]]},"references-count":46,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,11]]}},"alternative-id":["547"],"URL":"https:\/\/doi.org\/10.1007\/s10044-016-0547-x","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,22]]}}}