{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T16:29:33Z","timestamp":1709828973045},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2015,6,2]],"date-time":"2015-06-02T00:00:00Z","timestamp":1433203200000},"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":[[2017,6]]},"DOI":"10.1007\/s13042-015-0380-3","type":"journal-article","created":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T06:56:09Z","timestamp":1433141769000},"page":"793-805","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Adaptive semi-supervised dimensionality reduction based on pairwise constraints weighting and graph optimizing"],"prefix":"10.1007","volume":"8","author":[{"given":"Meng","family":"Meng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiabing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianli","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,6,2]]},"reference":[{"key":"380_CR1","volume-title":"Pattern classification","author":"RO Duda","year":"2001","unstructured":"Duda RO, Hart PE, Stork DG (2001) Pattern classification, 2nd edn. Wiley, New York","edition":"2"},{"key":"380_CR2","volume-title":"Principal component analysis","author":"IT Jolliffe","year":"2002","unstructured":"Jolliffe IT (2002) Principal component analysis, 2nd edn. Wiley, New York","edition":"2"},{"key":"380_CR3","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1007\/s13042-012-0131-7","volume":"4","author":"A Sharma","year":"2013","unstructured":"Sharma A, Paliwal KK, Imoto S, Miyano S (2013) Principal component analysis using QR decomposition. Int J Mach Learn Cybern (IJMLC) 4:679\u2013683","journal-title":"Int J Mach Learn Cybern (IJMLC)"},{"key":"380_CR4","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s13042-013-0226-9","volume":"6","author":"A Sharma","year":"2015","unstructured":"Sharma A, Paliwal KK (2015) Linear discriminant analysis for the small sample size problem: an overview. Int J Mach Learn Cybern (IJMLC)\u00a06:443\u2013454","journal-title":"Int J Mach Learn Cybern (IJMLC)"},{"key":"380_CR5","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/9780262033589.001.0001","volume-title":"Semi-supervised learning","author":"O Chapelle","year":"2006","unstructured":"Chapelle O, Sch\u00f6lkopf B, Zien A (2006) Semi-supervised learning. MIT Press, Cambridge"},{"issue":"9","key":"380_CR6","doi-asserted-by":"crossref","first-page":"2789","DOI":"10.1016\/j.patcog.2008.01.001","volume":"41","author":"Y Song","year":"2008","unstructured":"Song Y, Nie F, Zhang C, Xiang S (2008) A unified framework for semi-supervised dimensionality reduction. Pattern Recognit 41(9):2789\u20132799","journal-title":"Pattern Recognit"},{"issue":"10\u201312","key":"380_CR7","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1016\/j.neucom.2009.10.024","volume":"73","author":"R Chatpatanasiri","year":"2010","unstructured":"Chatpatanasiri R, Kijsirikul B (2010) A unified semi-supervised dimensionality reduction framework for manifold learning. Neurocomputing 73(10\u201312):1631\u20131640","journal-title":"Neurocomputing"},{"key":"380_CR8","doi-asserted-by":"publisher","unstructured":"Alok AK, Saha S, Ekbal A (2015) Semi-supervised clustering for gene-expression data in multiobjective optimization framework. Int J Mach Learn Cybern (IJMLC). doi:\n                        10.1007\/s13042-015-0335-8","DOI":"10.1007\/s13042-015-0335-8"},{"key":"380_CR9","unstructured":"Wagstaff K, Cardie C (2000) Clustering with instance-level constraints. In: Proceedings of the 17th International Conference on Machine Learning, pp 1003\u20131110"},{"key":"380_CR10","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s13042-011-0048-6","volume":"3","author":"C Chen","year":"2012","unstructured":"Chen C, Zhang J, He X, Zhou ZH (2012) Non-parametric kernel learning with robust pairwise constraints. Int J Mach Learn Cybern (IJMLC) 3:83\u201396","journal-title":"Int J Mach Learn Cybern (IJMLC)"},{"key":"380_CR11","unstructured":"Klein D, Kamvar SD, Manning CD (2002) From instance-level constraints to space-level constraints: making the most of prior knowledge in data clustering. In: Proceedings of the 19th International Conference on Machine Learning, pp 307\u2013314"},{"key":"380_CR12","first-page":"937","volume":"6","author":"A Bar-Hillel","year":"2005","unstructured":"Bar-Hillel A, Hertz T, Shental N, Weinshall D (2005) Learning a mahalanobis metric from equivalence constraints. J Mach Learn Res 6:937\u2013965","journal-title":"J Mach Learn Res"},{"key":"380_CR13","first-page":"505","volume":"15","author":"EP Xing","year":"2003","unstructured":"Xing EP, Ng AY, Jordan MI, Russell S (2003) Distance metric learning, with application to clustering with side-information. Adv Neural Inf Process Syst 15:505\u2013512","journal-title":"Adv Neural Inf Process Syst"},{"key":"380_CR14","unstructured":"Tang W, Zhong S (2006) Pairwise constraints-guided dimensionality reduction. In: Proceedings of the SDM\u201906 Workshop on Feature Selection for Data Mining, pp 59\u201366"},{"issue":"5","key":"380_CR15","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1016\/j.patcog.2005.12.004","volume":"39","author":"DY Yeung","year":"2006","unstructured":"Yeung DY, Chang H (2006) Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognit 39(5):1007\u20131010","journal-title":"Pattern Recognit"},{"key":"380_CR16","unstructured":"An S, Liu W, Venkatesh S (2008) Exploiting side information in locality preserving projection. In: Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp 1\u20138"},{"key":"380_CR17","doi-asserted-by":"crossref","unstructured":"Zhang D, Zhou Z, Chen S (2007) Semi-supervised dimensionality reduction. In: Proceedings of the 7th SIAM International Conference on Data Mining, pp 629\u2013634","DOI":"10.1137\/1.9781611972771.73"},{"issue":"2","key":"380_CR18","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1109\/LGRS.2010.2076407","volume":"8","author":"S Chen","year":"2011","unstructured":"Chen S, Zhang D (2011) Semisupervised dimensionality reduction with pairwise constraints for hyperspectral image classification. IEEE Geosci Remote Sens Lett 8(2):369\u2013373","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"380_CR19","unstructured":"Cevikalp H, Verbeek J, Jurie F, Klaser A (2008) Semi-supervised dimensionality reduction using pairwise equivalence constraints. In: Proceedings of the 2008 International Conference on Computer Vision Theory and Applications, pp 489\u2013496"},{"key":"380_CR20","first-page":"153","volume":"16","author":"X He","year":"2004","unstructured":"He X, Niyogi P (2004) Locality preserving projections. Adv in Neural Inf Process Syst 16:153\u2013160","journal-title":"Adv in Neural Inf Process Syst"},{"issue":"20","key":"380_CR21","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1049\/el:20080967","volume":"44","author":"J Wei","year":"2008","unstructured":"Wei J, Peng H (2008) Neighborhood preserving based semi-supervised dimensionality reduction. Electron Lett 44(20):1190\u20131191","journal-title":"Electron Lett"},{"issue":"5500","key":"380_CR22","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis ST, Saul LK (2000) Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500):2323\u20132327","journal-title":"Science"},{"key":"380_CR23","unstructured":"Baghshah MS, Shouraki SB (2009) Semi-supervised metric learning using pairwise constraints. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence, pp 1217\u20131222"},{"key":"380_CR24","unstructured":"Davidson I (2009) Knowledge driven dimension reduction for clustering. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence, pp 1034\u20131039"},{"issue":"1","key":"380_CR25","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.neucom.2011.03.057","volume":"76","author":"S Yan","year":"2012","unstructured":"Yan S, Bouaziz S, Lee D, Barlow J (2012) Semi-supervised dimensionality reduction for analyzing high-dimensional data with constraints. Neurocomputing 76(1):114\u2013124","journal-title":"Neurocomputing"},{"issue":"6","key":"380_CR26","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":"380_CR27","unstructured":"Chapelle O, Zien A (2005) Semi-supervised classification by low density separation. In: Proceedings of the 22nd International Conference on Machine Learning, pp 57\u201364"},{"issue":"12","key":"380_CR28","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.1109\/TPAMI.2003.1251154","volume":"25","author":"T Sim","year":"2003","unstructured":"Sim T, Barker S, Bsat M (2003) The CMU pose, illumination, and expression database. IEEE Trans Pattern Anal Mach Intell 25(12):1615\u20131618","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"380_CR29","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1109\/34.927464","volume":"23","author":"AS Georghiades","year":"2001","unstructured":"Georghiades AS, Belhumeur PN, Kriegman DJ (2001) From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Trans Pattern Anal Mach Intell 23(6):643\u2013660","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"11","key":"380_CR30","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun Y, Bottou L, Bengio Y, Haffner P (1998) Gradient-based learning applied to document recognition. Proc IEEE 86(11):2278\u20132324","journal-title":"Proc IEEE"},{"issue":"9","key":"380_CR31","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1109\/TPAMI.2003.1227981","volume":"25","author":"D Zhang","year":"2003","unstructured":"Zhang D, Kong W, You J, Wong M (2003) Online palmprint identification. IEEE Trans Pattern Anal Mach Intell 25(9):1041\u20131050","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0380-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-015-0380-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0380-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0380-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T14:31:19Z","timestamp":1559485879000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-015-0380-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,2]]},"references-count":31,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,6]]}},"alternative-id":["380"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0380-3","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6,2]]}}}