{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T08:53:14Z","timestamp":1778662394422,"version":"3.51.4"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2014,8,12]],"date-time":"2014-08-12T00:00:00Z","timestamp":1407801600000},"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\/s13042-014-0289-2","type":"journal-article","created":{"date-parts":[[2014,8,11]],"date-time":"2014-08-11T01:21:45Z","timestamp":1407720105000},"page":"729-740","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Multiple recursive projection twin support vector machine for multi-class classification"],"prefix":"10.1007","volume":"7","author":[{"given":"Chun-Na","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun-Feng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"He-Ji","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan-Hai","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-Min","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,8,12]]},"reference":[{"key":"289_CR1","doi-asserted-by":"publisher","unstructured":"Abe S (2014) Fusing sequential minimal optimization and newtons method for support vector training. Int J Mach Learn Cybern. doi: 10.1007\/s13042-014-0265-x","DOI":"10.1007\/s13042-014-0265-x"},{"issue":"4","key":"289_CR2","doi-asserted-by":"crossref","first-page":"7535","DOI":"10.1016\/j.eswa.2008.09.066","volume":"36","author":"M Arun Kumar","year":"2009","unstructured":"Arun Kumar M, Gopal M (2009) Least squares twin support vector machines for pattern classification. Expert Syst Appl 36(4):7535\u20137543","journal-title":"Expert Syst Appl"},{"key":"289_CR3","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning. Springer, New York"},{"key":"289_CR4","unstructured":"Blake CL, Merz CJ (1998) UCI repository for machine learning databases. http:\/\/www.ics.uci.edu\/mlearn\/MLRepository.html"},{"key":"289_CR5","doi-asserted-by":"crossref","unstructured":"Chang CC, Lin CJ (2011) A library for support vector machines. ACM Trans Intell Syst Technol 2:1\u201327","DOI":"10.1145\/1961189.1961199"},{"issue":"3","key":"289_CR6","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s13042-013-0183-3","volume":"5","author":"WJ Chen","year":"2014","unstructured":"Chen WJ, Shao YH, Hong N (2014) Laplacian smooth twin support vector machine for semi-supervised classification. Int J Mach Learn Cybern 5(3):459\u2013468","journal-title":"Int J Mach Learn Cybern"},{"issue":"10","key":"289_CR7","doi-asserted-by":"crossref","first-page":"2643","DOI":"10.1016\/j.patcog.2011.03.001","volume":"44","author":"X Chen","year":"2011","unstructured":"Chen X, Yang J, Ye Q, Liang J (2011) Recursive projection twin support vector machine via within-class variance minimization. Pattern Recogn 44(10):2643\u20132655","journal-title":"Pattern Recogn"},{"issue":"3","key":"289_CR8","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support vector networks. Mach Learn 20(3):273\u2013297","journal-title":"Mach Learn"},{"key":"289_CR9","doi-asserted-by":"crossref","DOI":"10.1201\/b14297","volume-title":"Support vector machines: theory, algorithms, and extensions","author":"NY Deng","year":"2012","unstructured":"Deng NY, Tian YJ, Zhang CH (2012) Support vector machines: theory, algorithms, and extensions. CRC Press, Boca Raton"},{"key":"289_CR10","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.neucom.2013.02.046","volume":"130","author":"S Ding","year":"2014","unstructured":"Ding S, Hua X (2014) Recursive least squares projection twin support vector machines for nonlinear classification. Neurocomputing 130:3\u20139","journal-title":"Neurocomputing"},{"issue":"4","key":"289_CR11","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.sigpro.2008.10.002","volume":"89","author":"S Ghorai","year":"2009","unstructured":"Ghorai S, Mukherjee A, Dutta PK (2009) Nonparallel plane proximal classifier. Signal Process 89(4):510\u2013522","journal-title":"Signal Process"},{"issue":"5","key":"289_CR12","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1109\/TPAMI.2007.1068","volume":"29","author":"R Jayadeva","year":"2007","unstructured":"Jayadeva R, Khemchandani R, Chandra S (2007) Twin support vector machines for pattern classification. IEEE Trans Pattern Anal Mach Intell 29(5):905\u2013910","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"289_CR13","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s11590-008-0092-7","volume":"3","author":"R Khemchandani","year":"2009","unstructured":"Khemchandani R, Chandra S (2009) Optimal kernel selection in twin support vector machines. Optim Lett 3(1):77\u201388","journal-title":"Optim Lett"},{"issue":"465","key":"289_CR14","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1198\/016214504000000098","volume":"99","author":"Y Lee","year":"2004","unstructured":"Lee Y, Lin Y, Wahba G (2004) Multicategory support vector machines: theory and application to the classification of microarray data and satellite radiance data. J Am Stat Assoc 99(465):67\u201381","journal-title":"J Am Stat Assoc"},{"issue":"1","key":"289_CR15","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1109\/TPAMI.2006.17","volume":"28","author":"OL Mangasarian","year":"2006","unstructured":"Mangasarian OL, Wild EW (2006) Multisurface proximal support vector classification via generalize eigenvalues. IEEE Trans Pattern Anal Mach Intell 28(1):69\u201374","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"289_CR16","unstructured":"Nene SA, Nayar SK, Murase H (1996) Columbia object image library (coil-20). In: Technical Report CUCS-005-96, Columbia University, New York"},{"issue":"1","key":"289_CR17","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.patcog.2012.06.019","volume":"46","author":"Z Qi","year":"2013","unstructured":"Qi Z, Tian Y, Shi Y (2013) Robust twin support vector machine for pattern classification. Pattern Recogn 46(1):305\u2013316","journal-title":"Pattern Recogn"},{"key":"289_CR18","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.neunet.2012.07.011","volume":"35","author":"Z Qi","year":"2012","unstructured":"Qi Z, Tian YJ, Shi Y (2012) Laplacian twin support vector machine for semi-supervised classification. Neural Netw 35:46\u201353","journal-title":"Neural Netw"},{"key":"289_CR19","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.neunet.2012.09.004","volume":"36","author":"Z Qi","year":"2012","unstructured":"Qi Z, Tian YJ, Shi Y (2012) Twin support vector machine with universum data. Neural Netw 36:112\u2013119","journal-title":"Neural Netw"},{"key":"289_CR20","volume-title":"Learning with Kernels","author":"B Scholkopf","year":"2002","unstructured":"Scholkopf B, Smola A (2002) Learning with Kernels. MIT Press, MA Cambridge"},{"key":"289_CR21","doi-asserted-by":"crossref","unstructured":"Schwenker F (2000) Hierarchical support vector machines for multi-class pattern recognition. In: Knowledge-based intelligent engineering systems and allied technologies, pp 561\u2013565","DOI":"10.1109\/KES.2000.884111"},{"issue":"1","key":"289_CR22","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.ins.2013.11.003","volume":"263","author":"YH Shao","year":"2014","unstructured":"Shao YH, Chen WJ, Deng NY (2014) Nonparallel hyperplane support vector machine for binary classification problems. Inf Sci 263(1):22\u201335","journal-title":"Inf Sci"},{"issue":"9","key":"289_CR23","doi-asserted-by":"crossref","first-page":"3158","DOI":"10.1016\/j.patcog.2014.03.008","volume":"47","author":"YH Shao","year":"2014","unstructured":"Shao YH, Chen WJ, Zhang JJ, Wang Z, Deng NY (2014) An efficient weighted lagrangian twin support vector machine for imbalanced data classification. Pattern Recogn 47(9):3158\u20133167","journal-title":"Pattern Recogn"},{"key":"289_CR24","doi-asserted-by":"crossref","first-page":"3158","DOI":"10.1016\/j.patcog.2014.03.008","volume":"47","author":"YH Shao","year":"2014","unstructured":"Shao YH, Chen WJ, Zhang JJ, Wang Z, Deng NY (2014) An efficient weighted lagrangian twin support vector machine for imbalanced data classification. Pattern Recogn 47:3158\u20133167","journal-title":"Pattern Recogn"},{"key":"289_CR25","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.neunet.2011.08.003","volume":"25","author":"YH Shao","year":"2012","unstructured":"Shao YH, Deng NY (2012) A coordinate descent margin based-twin support vector machine for classification. Neural Netw 25:114\u2013121","journal-title":"Neural Netw"},{"key":"289_CR26","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.knosys.2013.05.015","volume":"49","author":"YH Shao","year":"2013","unstructured":"Shao YH, Deng NY, Chen WJ (2013) A proximal classifier with consistency. Knowl Based Syst 49:171\u2013178","journal-title":"Knowl Based Syst"},{"issue":"3","key":"289_CR27","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1109\/LSP.2012.2216874","volume":"20","author":"YH Shao","year":"2013","unstructured":"Shao YH, Deng NY, Chen WJ, Wang Z (2013) Improved generalized eigenvalue proximal support vector machine. IEEE Signal Process Lett 20(3):213\u2013216","journal-title":"IEEE Signal Process Lett"},{"issue":"6","key":"289_CR28","doi-asserted-by":"crossref","first-page":"2299","DOI":"10.1016\/j.patcog.2011.11.028","volume":"45","author":"YH Shao","year":"2012","unstructured":"Shao YH, Deng NY, Yang ZM (2012) Least squares recursive projection twin support vector machine for classification. Pattern Recogn 45(6):2299\u20132307","journal-title":"Pattern Recogn"},{"key":"289_CR29","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.knosys.2012.08.001","volume":"37","author":"YH Shao","year":"2013","unstructured":"Shao YH, Wang Z, Chen WJ, Deng NY (2013) A regularization for the projection twin support vector machine. Knowl Based Syst 37:203\u2013210","journal-title":"Knowl Based Syst"},{"issue":"6","key":"289_CR30","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1109\/TNN.2011.2130540","volume":"22","author":"YH Shao","year":"2011","unstructured":"Shao YH, Zhang CH, Wang XB, Deng NY (2011) Improvements on twin support vector machines. IEEE Trans Neural Netw 22(6):962\u2013968","journal-title":"IEEE Trans Neural Netw"},{"key":"289_CR31","doi-asserted-by":"publisher","unstructured":"Sun L, Mu WS, Qi B, Zhou ZJ (2014) A new privacy-preserving proximal support vector machine for classification of vertically partitioned data. Int J Mach Learn Cybern doi: 10.1007\/s13042-014-0245-1","DOI":"10.1007\/s13042-014-0245-1"},{"issue":"1","key":"289_CR32","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1109\/TNN.2007.908267","volume":"19","author":"Q Tao","year":"2008","unstructured":"Tao Q, Chu D, Wang J (2008) Recursive support vector machines for dimensionality reduction. IEEE Trans Neural Netw 19(1):189\u2013193","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"289_CR33","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s11425-013-4718-6","volume":"57","author":"YJ Tian","year":"2014","unstructured":"Tian YJ, Ju XC, Qi ZQ, Shi Y (2014) Improved twin support vector machine. Sci Chin Math 57(2):417\u2013432","journal-title":"Sci Chin Math"},{"issue":"7","key":"289_CR34","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1109\/TCYB.2013.2279167","volume":"44","author":"YJ Tian","year":"2013","unstructured":"Tian YJ, Qi ZQ, Ju XC, Shi Y, Liu X (2013) Nonparallel support vector machines for pattern classification. IEEE Trans Cybern 44(7):1067\u20131079","journal-title":"IEEE Trans Cybern"},{"key":"289_CR35","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.neucom.2005.05.006","volume":"68","author":"XZ Wang","year":"2005","unstructured":"Wang XZ, He Q, Chen DG, Yeung D (2005) A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68:225\u2013238","journal-title":"Neurocomputing"},{"issue":"1","key":"289_CR36","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1142\/S0218001408006144","volume":"22","author":"XZ Wang","year":"2008","unstructured":"Wang XZ, Lu SX, Zhai JH (2008) Fast fuzzy multi-category svm based on support vector domain description. Int J Pattern Recogn Artif Intell 22(1):109\u2013120","journal-title":"Int J Pattern Recogn Artif Intell"},{"key":"289_CR37","unstructured":"Weston J, Watkins C (1998) Multi-class support vector machines. In: Technical Report CSD-TR-98-04, Department of Computer Science, Royal Holloway, University of London, Egham"},{"issue":"8","key":"289_CR38","doi-asserted-by":"crossref","first-page":"2097","DOI":"10.1109\/TIP.2006.875225","volume":"15","author":"C Xiang","year":"2006","unstructured":"Xiang C, Fan XA, Lee TH (2006) Face recognition using recursive fisher linear discriminant. IEEE Trans Image Process 15(8):2097\u20132105","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"289_CR39","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"},{"key":"289_CR40","unstructured":"Yang ZX, Shao YH, Zhang XS (2012) Multiple birth support vector machine for multi-class classification. Neural Comput Appl 1\u20139"},{"key":"289_CR41","doi-asserted-by":"crossref","unstructured":"Ye Q, Zhao C, Ye N, Chen, Y (2010) Multi-weight vector projection support vector machines. Pattern Recogn Lett 31(13):2006\u20132011","DOI":"10.1016\/j.patrec.2010.06.005"},{"issue":"1","key":"289_CR42","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.patcog.2011.07.008","volume":"45","author":"QL Ye","year":"2012","unstructured":"Ye QL, Zhao CX, Zhang HF, Chen XB (2012) Recursive \u201cconcave\u2013convex\u201d Fisher linear discriminant with applications to face, handwritten digit and terrain recognition. Pattern Recogn 45(1):54\u201365","journal-title":"Pattern Recogn"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0289-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-014-0289-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0289-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-014-0289-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T15:14:54Z","timestamp":1565709294000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-014-0289-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,12]]},"references-count":42,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2016,10]]}},"alternative-id":["289"],"URL":"https:\/\/doi.org\/10.1007\/s13042-014-0289-2","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,12]]}}}