{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:55:23Z","timestamp":1777571723831,"version":"3.51.4"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2012,6,14]],"date-time":"2012-06-14T00:00:00Z","timestamp":1339632000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2013,9]]},"DOI":"10.1007\/s00521-012-0978-2","type":"journal-article","created":{"date-parts":[[2012,6,13]],"date-time":"2012-06-13T04:17:00Z","timestamp":1339561020000},"page":"691-705","source":"Crossref","is-referenced-by-count":12,"title":["Fast Fisher Sparsity Preserving Projections"],"prefix":"10.1007","volume":"23","author":[{"given":"Fei","family":"Yin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. C.","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fanhua","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Biao","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,6,14]]},"reference":[{"issue":"1","key":"978_CR1","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/5326.661089","volume":"28","author":"LO Jimenez","year":"1997","unstructured":"Jimenez LO, Landgrebe DA (1997) Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data. IEEE Trans Syst Man Cybern C 28(1):39\u201354","journal-title":"IEEE Trans Syst Man Cybern C"},{"issue":"4","key":"978_CR2","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1016\/j.patrec.2010.12.005","volume":"32","author":"F Shang","year":"2011","unstructured":"Shang F, Jiao L, Shi J, Chai J (2011) Robust positive semidefinite L-Isomap ensemble. Pattern Recogn Lett 32(4):640\u2013649","journal-title":"Pattern Recogn Lett"},{"issue":"19","key":"978_CR3","doi-asserted-by":"crossref","first-page":"3716","DOI":"10.1016\/j.ins.2008.06.001","volume":"178","author":"S Gunal","year":"2008","unstructured":"Gunal S, Edizkan R (2008) Subspace based feature selection for pattern recognition. Inform Sci 178(19):3716\u20133726","journal-title":"Inform Sci"},{"key":"978_CR4","volume-title":"Pattern classification","author":"RO Duda","year":"2000","unstructured":"Duda RO, Hart PE, Stork DG (2000) Pattern classification, 2nd edn. Wiley, New York","edition":"2"},{"key":"978_CR5","unstructured":"He X, Niyogi P (2003) Locality preserving projections. In: Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), pp 585\u2013591"},{"key":"978_CR6","unstructured":"He X, Cai D, Yan S, Zhang H (2005) Neighborhood preserving embedding. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp 1208\u20131213"},{"issue":"1","key":"978_CR7","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/j.patcog.2009.05.005","volume":"43","author":"L Qiao","year":"2010","unstructured":"Qiao L, Chen S, Tan X (2010) Sparsity preserving projections with applications to face recognition. Pattern Recogn 43(1):331\u2013341","journal-title":"Pattern Recogn"},{"issue":"7","key":"978_CR8","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"P Belhumeur","year":"1997","unstructured":"Belhumeur P, Hepanha J, Kriegman D (1997) Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711\u2013720","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"978_CR9","volume-title":"Learning with kernels","author":"B Scholkopf","year":"2002","unstructured":"Scholkopf B, Smola A (2002) Learning with kernels. MIT Press, Cambridge, MA"},{"issue":"8","key":"978_CR10","doi-asserted-by":"crossref","first-page":"1237","DOI":"10.1016\/j.ins.2009.11.041","volume":"180","author":"S Das","year":"2010","unstructured":"Das S, Sil S (2010) Kernel induced fuzzy clustering of image pixels with an improved differential evolution algorithm. Inform Sci 180(8):1237\u20131256","journal-title":"Inform Sci"},{"issue":"1","key":"978_CR11","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.ins.2010.08.047","volume":"181","author":"S Maldonado","year":"2011","unstructured":"Maldonado S, Weber R, Basak J (2011) Simultaneous feature selection and classification using kernel-penalized support vector machines. Inform Sci 181(1):115\u2013128","journal-title":"Inform Sci"},{"key":"978_CR12","unstructured":"Scholkopf B, Solma A, Muller K (1999) Kernel principal component analysis. In: Proceedings of the Advances in Kernel Methods-Support Vector Learning, pp 327\u2013352"},{"key":"978_CR13","author":"J-B Li","year":"2011","unstructured":"Li J-B, Gao HJ (2011) Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition. Neural Comput Appl. doi: 10.1007\/s00521-011-0600-z","journal-title":"Neural Comput Appl"},{"key":"978_CR14","doi-asserted-by":"crossref","unstructured":"Mika S, Ratsch G, Weston J, Scholkopf B, Muller K-R (1999) Fisher discriminant analysis with kernels. In: Proceedings of the IEEE International Workshop on Neural Networks for Signal Processing, volume IX, pp 41\u201348","DOI":"10.1109\/NNSP.1999.788121"},{"issue":"4","key":"978_CR15","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1007\/s00521-009-0311-x","volume":"19","author":"BC Zhang","year":"2010","unstructured":"Zhang BC, Qiao Y (2010) Face recognition\u00a0based on gradient gabor feature and efficient kernel fisher analysis. Neural Comput Appl 19(4):617\u2013623","journal-title":"Neural Comput Appl"},{"issue":"7","key":"978_CR16","doi-asserted-by":"crossref","first-page":"1825","DOI":"10.1016\/j.ins.2007.12.001","volume":"178","author":"J Li","year":"2008","unstructured":"Li J, Pan J, Chu S (2008) Kernel class-wise locality preserving projection. Inform Sci 178(7):1825\u20131835","journal-title":"Inform Sci"},{"key":"978_CR17","doi-asserted-by":"crossref","unstructured":"Wang Z, Sun X (2008) Face recognition using kernel-based NPE. In: Proceedings of the IEEE International Conference on Computer Science and Software Engineering (CSSE), pp 802\u2013805","DOI":"10.1109\/CSSE.2008.575"},{"issue":"14","key":"978_CR18","doi-asserted-by":"crossref","first-page":"2649","DOI":"10.1016\/j.ins.2010.04.004","volume":"180","author":"H Yin","year":"2010","unstructured":"Yin H, Huang W (2010) Adaptive nonlinear manifolds and their application to pattern recognition. Inform Sci 180(14):2649\u20132662","journal-title":"Inform Sci"},{"issue":"2","key":"978_CR19","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1007\/s10618-010-0207-5","volume":"23","author":"F Shang","year":"2011","unstructured":"Shang F, Jiao L, Shi J, Gong M, Shang RH (2011) Fast density-weighted low-rank approximation spectral clustering. Data Min Knowl Discov 23(2):345\u2013378","journal-title":"Data Min Knowl Discov"},{"issue":"5500","key":"978_CR20","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","volume":"290","author":"J Tenenbaum","year":"2000","unstructured":"Tenenbaum J, Silva V, Langford J (2000) A global geometric framework for nonlinear dimensionality reduction. Science 290(5500):2319\u20132322","journal-title":"Science"},{"issue":"5500","key":"978_CR21","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"S Roweis","year":"2000","unstructured":"Roweis S, Saul L (2000) Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500):2323\u20132326","journal-title":"Science"},{"issue":"6","key":"978_CR22","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"},{"key":"978_CR23","unstructured":"Cai D, He X, Han J (2007) Isometric projection. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp 528\u2013533"},{"key":"978_CR24","unstructured":"Cand\u00e8s E (2006) Compressive sampling. In: Proceedings of International Congress of Mathematics. Madrid, Spain, pp 1433\u20131452"},{"issue":"6","key":"978_CR25","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1002\/cpa.20132","volume":"59","author":"D Donoho","year":"2006","unstructured":"Donoho D (2006) For most large underdetermined systems of linear equations the minimal $$ \\ell^{1} $$ -norm solution is also the sparsest solution. Commun Pur Appl Math 59(6):797\u2013829","journal-title":"Commun Pur Appl Math"},{"issue":"4","key":"978_CR26","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"D Donoho","year":"2006","unstructured":"Donoho D (2006) Compressed sensing. IEEE Trans Inform Theory 52(4):1289\u20131306","journal-title":"IEEE Trans Inform Theory"},{"issue":"1","key":"978_CR27","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10208-007-9011-z","volume":"9","author":"RG Baraniuk","year":"2009","unstructured":"Baraniuk RG, Wakin MB (2009) Random projections of smooth manifolds. Found Comput Math 9(1):51\u201377","journal-title":"Found Comput Math"},{"issue":"2","key":"978_CR28","first-page":"445","volume":"4","author":"MA Davenport","year":"2010","unstructured":"Davenport MA, Boufounos PT, Wakin MB, Baraniuk RG (2010) Signal processing with compressive measurements. IEEE J-STSP 4(2):445\u2013460","journal-title":"IEEE J-STSP"},{"issue":"6","key":"978_CR29","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1109\/JPROC.2010.2044470","volume":"98","author":"J Wright","year":"2010","unstructured":"Wright J, Ma Y, Mairal J, Sapiro G, Huang TS, Yan S (2010) Sparse representation for computer vision and pattern recognition. Proc IEEE 98(6):1031\u20131044","journal-title":"Proc IEEE"},{"key":"978_CR30","doi-asserted-by":"crossref","unstructured":"Cai J, Ji H, Liu X, Shen Z (2009) Blind motion deblurring from a single image using sparse approximation. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp 104\u2013111","DOI":"10.1109\/CVPR.2009.5206743"},{"key":"978_CR31","doi-asserted-by":"crossref","unstructured":"Mairal J, Bach F, Ponce J, Sapiro G, Zisserman A (2009) Non-local sparse models for image restoration. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp 2272\u20132279","DOI":"10.1109\/ICCV.2009.5459452"},{"key":"978_CR32","unstructured":"Yang J, Wright J, Huang T, Ma Y (2008) Image superresolution as sparse representation of raw patches. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp 1\u20138"},{"key":"978_CR33","unstructured":"Mairal J, Bach F, Ponce J, Sapiro G, Zisserman A (2009) Supervised dictionary learning. In: Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), pp 1033\u20131040"},{"key":"978_CR34","unstructured":"Huang K, Aviyente S (2006) Sparse representation for signal classification. In: Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), pp 585\u2013591"},{"key":"978_CR35","volume-title":"Introduction to statistical pattern recognition","author":"K Fukunaga","year":"1990","unstructured":"Fukunaga K (1990) Introduction to statistical pattern recognition, 2nd edn. Academic Press, San Diego","edition":"2"},{"key":"978_CR36","unstructured":"Chung F (1997) Spectral graph theory. Regional conference series in mathematics, no. 92"},{"issue":"2","key":"978_CR37","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright J, Yang A, Sastry S, 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"},{"issue":"3","key":"978_CR38","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1109\/TPAMI.2003.1177153","volume":"25","author":"R Basri","year":"2003","unstructured":"Basri R, Jacobs D (2003) Lambertian relection and linear subspaces. IEEE Trans Pattern Anal Mach Intell 25(3):218\u2013233","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"978_CR39","volume-title":"Matrix computations","author":"G Golub","year":"1996","unstructured":"Golub G, Van Loan C (1996) Matrix computations, 3rd edn. Johns Hopkins University Press, Baltimore","edition":"3"},{"key":"978_CR40","doi-asserted-by":"crossref","unstructured":"Cai D, He X, Han J (2007) Spectral regression: a unified approach for sparse subspace learning. In: Proceedings of the IEEE International Conference on Data Mining (ICDM), pp 73\u201382","DOI":"10.1109\/ICDM.2007.89"},{"issue":"1","key":"978_CR41","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TPAMI.2007.250598","volume":"29","author":"S Yan","year":"2007","unstructured":"Yan S, Xu D, Zhang B, Zhang H, Yang Q, Lin S (2007) Graph embedding and extensions: a general framework for dimensionality reduction. IEEE Trans Pattern Anal Mach Intell 29(1):40\u201351","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"978_CR42","unstructured":"Wang F, Zhang C (2008) On discriminative semi-supervised classification. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp 720\u2013725"},{"issue":"12","key":"978_CR43","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1109\/TKDE.2009.40","volume":"21","author":"F Wang","year":"2009","unstructured":"Wang F, Zhang C, Li T (2009) Clustering with local and global regularizations. IEEE Trans Knowl Data En 21(12):1665\u20131678","journal-title":"IEEE Trans Knowl Data En"},{"issue":"4","key":"978_CR44","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1109\/TSMCB.2006.870645","volume":"36","author":"H Zhao","year":"2006","unstructured":"Zhao H, Yuen P, Kwok J (2006) A novel incremental principal component analysis and its application for face recognition. IEEE Trans Syst Man Cybern B 36(4):873\u2013886","journal-title":"IEEE Trans Syst Man Cybern B"},{"issue":"1","key":"978_CR45","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TSMCB.2007.908870","volume":"38","author":"H Zhao","year":"2008","unstructured":"Zhao H, Yuen P (2008) Incremental linear discriminant analysis for face recognition. IEEE Trans Syst Man Cybern B 38(1):210\u2013221","journal-title":"IEEE Trans Syst Man Cybern B"},{"issue":"3","key":"978_CR46","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1109\/TPAMI.2006.56","volume":"28","author":"M Law","year":"2006","unstructured":"Law M, Jain A (2006) Incremental nonlinear dimensionality reduction by manifold learning. IEEE Trans Pattern Anal Mach Intell 28(3):377\u2013391","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"10","key":"978_CR47","doi-asserted-by":"crossref","first-page":"1764","DOI":"10.1016\/j.patcog.2005.04.006","volume":"38","author":"O Kouropteva","year":"2005","unstructured":"Kouropteva O, Okun O, Pietikainen M (2005) Incremental locally linear embedding. Pattern Recogn 38(10):1764\u20131767","journal-title":"Pattern Recogn"},{"issue":"1","key":"978_CR48","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1162\/jocn.1991.3.1.71","volume":"3","author":"M Turk","year":"1991","unstructured":"Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71\u201386","journal-title":"J Cogn Neurosci"},{"issue":"3","key":"978_CR49","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TPAMI.2005.55","volume":"27","author":"X He","year":"2005","unstructured":"He X, Yan S, Hu Y, Niyogi P, Zhang H (2005) Face recognition using laplacianfaces. IEEE Trans Pattern Anal Mach Intell 27(3):328\u2013340","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"978_CR50","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1109\/TPAMI.2005.92","volume":"27","author":"K Lee","year":"2005","unstructured":"Lee K, Ho J, Kriegman D (2005) Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans Pattern Anal Mach Intell 27(5):684\u2013698","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0978-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-012-0978-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0978-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,29]],"date-time":"2019-06-29T22:54:41Z","timestamp":1561848881000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-012-0978-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,6,14]]},"references-count":50,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2013,9]]}},"alternative-id":["978"],"URL":"https:\/\/doi.org\/10.1007\/s00521-012-0978-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,6,14]]}}}