{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T15:48:02Z","timestamp":1770133682096,"version":"3.49.0"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2013,8,10]],"date-time":"2013-08-10T00:00:00Z","timestamp":1376092800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Front. Comput. Sci."],"published-print":{"date-parts":[[2013,10]]},"DOI":"10.1007\/s11704-013-2234-z","type":"journal-article","created":{"date-parts":[[2013,8,10]],"date-time":"2013-08-10T00:44:37Z","timestamp":1376095477000},"page":"745-753","source":"Crossref","is-referenced-by-count":21,"title":["Dimensionality reduction with adaptive graph"],"prefix":"10.1007","volume":"7","author":[{"given":"Lishan","family":"Qiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Limei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songcan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,8,10]]},"reference":[{"key":"2234_CR1","volume-title":"Pattern classification","author":"R O Duda","year":"2012","unstructured":"Duda R O, Hart P E, Stork D G. Pattern classification. Wileyinterscience, 2012"},{"key":"2234_CR2","volume-title":"Advances in Neural Information Processing Systems 16","author":"X F He","year":"2004","unstructured":"He X F, Niyogi P. Locality preserving projections. In: Thrun S, Saul L, Sch\u00f6lkopf B, eds. Advances in Neural Information Processing Systems 16. Cambridge: MIT Press, 2004"},{"key":"2234_CR3","first-page":"1208","volume-title":"Proceedings of the 10th IEEE International Conference on Computer Vision","author":"X F He","year":"2005","unstructured":"He X F, Cai D, Yan S C, Zhang H J. Neighborhood preserving embedding. In: Proceedings of the 10th IEEE International Conference on Computer Vision. 2005, 1208\u20131213"},{"issue":"1","key":"2234_CR4","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TPAMI.2007.250598","volume":"29","author":"S C Yan","year":"2007","unstructured":"Yan S C, Xu D, Zhang B Y, Zhang H J, Yang Q, Lin S. Graph embedding and extensions: a general framework for dimensionality reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(1): 40\u201351","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"10","key":"2234_CR5","doi-asserted-by":"crossref","first-page":"2358","DOI":"10.1016\/j.patcog.2010.06.013","volume":"44","author":"X Gao","year":"2011","unstructured":"Gao X, Wang X, Li X, Tao D. Transfer latent variable model based on divergence analysis. Pattern Recognition, 2011, 44(10): 2358\u20132366","journal-title":"Pattern Recognition"},{"issue":"10","key":"2234_CR6","doi-asserted-by":"crossref","first-page":"2186","DOI":"10.1016\/j.neucom.2010.01.021","volume":"73","author":"X Wang","year":"2010","unstructured":"Wang X, Gao X, Yuan Y, Tao D, Li J. Semi-supervised gaussian process latent variable model with pairwise constraints. Neurocomputing, 2010, 73(10): 2186\u20132195","journal-title":"Neurocomputing"},{"issue":"3","key":"2234_CR7","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1109\/TKDE.2006.45","volume":"18","author":"J Yan","year":"2006","unstructured":"Yan J, Zhang B, Liu N, Yan S, Cheng Q, Fan W, Yang Q, Xi W, Chen Z. Effective and efficient dimensionality reduction for large-scale and streaming data preprocessing. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(3): 320\u2013333","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"2234_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-39351-3","volume-title":"Nonlinear dimensionality reduction","author":"J A Lee","year":"2007","unstructured":"Lee J A, Verleysen M. Nonlinear dimensionality reduction. Springer, 2007"},{"key":"2234_CR9","volume-title":"Linear and non linear dimensionality reduction for distributed knowledge discovery","author":"P Magdalinos","year":"2011","unstructured":"Magdalinos P. Linear and non linear dimensionality reduction for distributed knowledge discovery. Department of Informatics, Athens University of Economics and Business, 2011"},{"issue":"5500","key":"2234_CR10","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","volume":"290","author":"J B Tenenbaum","year":"2000","unstructured":"Tenenbaum J B, Silva V, Langford J C. A global geometric framework for nonlinear dimensionality reduction. Science, 2000, 290(5500): 2319\u20132323","journal-title":"Science"},{"issue":"5500","key":"2234_CR11","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"S T Roweis","year":"2000","unstructured":"Roweis S T, Saul L K. Nonlinear dimensionality reduction by locally linear embedding. Science, 2000, 290(5500): 2323\u20132326","journal-title":"Science"},{"issue":"6","key":"2234_CR12","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1162\/089976603321780317","volume":"15","author":"M Belkin","year":"2003","unstructured":"Belkin M, Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 2003, 15(6): 1373\u20131396","journal-title":"Neural Computation"},{"key":"2234_CR13","first-page":"1","volume":"10","author":"L Van-der-Maaten","year":"2009","unstructured":"Van-der-Maaten L, Postma E, Van-den-Herik H. Dimensionality reduction: a comparative review. Journal of Machine Learning Research, 2009, 10: 1\u201341","journal-title":"Journal of Machine Learning Research"},{"issue":"3","key":"2234_CR14","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TPAMI.2005.55","volume":"27","author":"X F He","year":"2005","unstructured":"He X F, Yan S C, Hu Y X, Niyogi P, Zhang H J. Face recognition using laplacianfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(3): 328\u2013340","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"2234_CR15","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.neucom.2010.03.019","volume":"74","author":"B Yang","year":"2010","unstructured":"Yang B, Chen S. Sample-dependent graph construction with application to dimensionality reduction. Neurocomputing, 2010, 74(1): 301\u2013314","journal-title":"Neurocomputing"},{"issue":"9","key":"2234_CR16","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.patrec.2005.11.017","volume":"27","author":"O Samko","year":"2006","unstructured":"Samko O, Marshall A, Rosin P. Selection of the optimal parameter value for the Isomap algorithm. Pattern Recognition Letters, 2006, 27(9): 968\u2013979","journal-title":"Pattern Recognition Letters"},{"key":"2234_CR17","first-page":"225","volume":"17","author":"M A Carreira-Perpin\u00e1n","year":"2005","unstructured":"Carreira-Perpin\u00e1n M A, Zemel R S. Proximity graphs for clustering and manifold learning. Advances in Neural Information Processing Systems, 2005, 17: 225\u2013232","journal-title":"Advances in Neural Information Processing Systems"},{"key":"2234_CR18","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1145\/1553374.1553432","volume-title":"Proceedings of the 26th Annual International Conference on Machine Learning","author":"T Jebara","year":"2009","unstructured":"Jebara T, Wang J, Chang S F. Graph construction and b-matching for semi-supervised learning. In: Proceedings of the 26th Annual International Conference on Machine Learning. 2009, 441\u2013448"},{"issue":"1","key":"2234_CR19","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/j.patcog.2009.05.005","volume":"43","author":"L S Qiao","year":"2010","unstructured":"Qiao L S, Chen S C, Tan X Y. Sparsity preserving projections with applications to face recognition. Pattern Recognition, 2010, 43(1): 331\u2013341","journal-title":"Pattern Recognition"},{"key":"2234_CR20","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1137\/1.9781611972795.68","volume-title":"Proceedings of the SIAM International Conference on Data Mining (SDM2009)","author":"S Yan","year":"2009","unstructured":"Yan S, Wang H. Semi-supervised learning by sparse representation. In: Proceedings of the SIAM International Conference on Data Mining (SDM2009). 2009, 792\u2013801"},{"key":"2234_CR21","doi-asserted-by":"crossref","first-page":"2790","DOI":"10.1109\/CVPR.2009.5206547","volume-title":"Proceeding of the 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009)","author":"E Elhamifar","year":"2009","unstructured":"Elhamifar E, Vidal R. Sparse subspace clustering. In: Proceeding of the 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009). 2009, 2790\u20132797"},{"issue":"10","key":"2234_CR22","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.1016\/j.neucom.2009.10.022","volume":"73","author":"L Qiao","year":"2010","unstructured":"Qiao L, Zhang L, Chen S. An empirical study of two typical locality preserving linear discriminant analysis methods. Neurocomputing, 2010, 73(10): 1587\u20131594","journal-title":"Neurocomputing"},{"issue":"6","key":"2234_CR23","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1016\/j.patcog.2009.12.022","volume":"43","author":"L Zhang","year":"2010","unstructured":"Zhang L, Qiao L, Chen S. Graph-optimized locality preserving projections. Pattern Recognition, 2010, 43(6): 1993\u20132002","journal-title":"Pattern Recognition"},{"issue":"3","key":"2234_CR24","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1023\/A:1017501703105","volume":"109","author":"P Tseng","year":"2001","unstructured":"Tseng P. Convergence of a block coordinate descent method for nondifferentiable minimization. Journal of Optimization Theory and Applications, 2001, 109(3): 475\u2013494","journal-title":"Journal of Optimization Theory and Applications"},{"issue":"2","key":"2234_CR25","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/34.908974","volume":"23","author":"A M Martinez","year":"2001","unstructured":"Martinez A M, Kak A C. PCA versus LDA. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(2): 228\u2013233","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"5","key":"2234_CR26","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1109\/TPAMI.2005.92","volume":"27","author":"K C Lee","year":"2005","unstructured":"Lee K C, Ho J, Kriegman D J. Acquiring linear subspaces for face recognition under variable lighting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(5): 684\u2013698","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2234_CR27","first-page":"1","volume-title":"Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV 2007)","author":"D Cai","year":"2007","unstructured":"Cai D, He X F, Han J W. Semi-supervised discriminant analysis. In: Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV 2007). 2007, 1\u20137"},{"key":"2234_CR28","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1145\/1273496.1273627","volume-title":"Proceedings of the 24th International Conference on Machine Learning","author":"M Wu","year":"2007","unstructured":"Wu M, Yu K, Yu S, Sch\u00f6lkopf B. Local learning projections. In: Proceedings of the 24th International Conference on Machine Learning. 2007, 1039\u20131046"},{"key":"2234_CR29","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1137\/1.9781611972795.44","volume-title":"Proceedings of the SIAM International Conference on Data Mining (SDM2009)","author":"P Magdalinos","year":"2009","unstructured":"Magdalinos P, Doulkeridis C, Vazirgiannis M. FEDRA: a fast and efficient dimensionality reduction algorithm. In: Proceedings of the SIAM International Conference on Data Mining (SDM2009). 2009, 509\u2013520"}],"container-title":["Frontiers of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-013-2234-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11704-013-2234-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-013-2234-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T20:08:45Z","timestamp":1688414925000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11704-013-2234-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,8,10]]},"references-count":29,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2013,10]]}},"alternative-id":["2234"],"URL":"https:\/\/doi.org\/10.1007\/s11704-013-2234-z","relation":{},"ISSN":["2095-2228","2095-2236"],"issn-type":[{"value":"2095-2228","type":"print"},{"value":"2095-2236","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,8,10]]}}}