{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T10:50:59Z","timestamp":1774263059829,"version":"3.50.1"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2014,5,25]],"date-time":"2014-05-25T00:00:00Z","timestamp":1400976000000},"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":["J Intell Inf Syst"],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1007\/s10844-014-0324-5","type":"journal-article","created":{"date-parts":[[2014,5,24]],"date-time":"2014-05-24T02:04:22Z","timestamp":1400897062000},"page":"307-321","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Consistent feature selection and its application to face recognition"],"prefix":"10.1007","volume":"43","author":[{"given":"Feng","family":"Pan","sequence":"first","affiliation":[]},{"given":"Guangwei","family":"Song","sequence":"additional","affiliation":[]},{"given":"Xiaobing","family":"Gan","sequence":"additional","affiliation":[]},{"given":"Qiwei","family":"Gu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,5,25]]},"reference":[{"key":"324_CR1","unstructured":"Balakrishnama, S., & Ganapathiraju, A. (1998). Linear discriminant analysis-a brief tutorial. Institute for Signal and information Processing."},{"issue":"7","key":"324_CR2","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"P Belhumeur","year":"1997","unstructured":"Belhumeur, P., Hespanha, J., Kriegman, D., et al. (1997). Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions Pattern Analytical Machinist Intelligence, 19(7), 711\u2013720.","journal-title":"IEEE Transactions Pattern Analytical Machinist Intelligence"},{"key":"324_CR3","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 labeled and unlabeled examples. Journal of Machine Learning Research, 7, 2399\u20132434.","journal-title":"Journal of Machine Learning Research"},{"key":"324_CR4","doi-asserted-by":"crossref","unstructured":"Cai, D., He, X., Han, J. (2007). Semi-supervised discriminant analysis. IEEE 11th International Conference on Computer Vision, 1\u20137.","DOI":"10.1109\/ICCV.2007.4408856"},{"issue":"1","key":"324_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TKDE.2007.190669","volume":"20","author":"D Cai","year":"2008","unstructured":"Cai, D., He, X., Han, J. (2008). Srda: An efficient algorithm for large-scale discriminant analysis. IEEE Transaction on Knowledge and Data Engineering, 20(1), 1\u201312.","journal-title":"IEEE Transaction on Knowledge and Data Engineering"},{"key":"324_CR6","doi-asserted-by":"crossref","unstructured":"Cai, D., Zhang, C., He, X. (2010). Unsupervised feature selection for multi-cluster data. In: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 333\u2013342. ACM.","DOI":"10.1145\/1835804.1835848"},{"key":"324_CR7","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/TPAMI.2007.70765","volume":"30","author":"M Culp","year":"2008","unstructured":"Culp, M., & Michailidis, G. (2008). Graph-based semisupervised learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 174\u2013179.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"324_CR8","first-page":"523","volume":"0","author":"C Ding","year":"2003","unstructured":"Ding, C., & Peng, H. (2003). Minimum redundancy feature selection from microarray gene expression data. Computational Systems Bioinformatics Conference, 0, 523\u2013528.","journal-title":"Computational Systems Bioinformatics Conference"},{"issue":"2","key":"324_CR9","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron, B., Hastie, T., Johnstone, I., Tibshirani, R. (2004). Least angle regression. The Annals of statistics, 32(2), 407\u2013499.","journal-title":"The Annals of statistics"},{"key":"324_CR10","doi-asserted-by":"crossref","unstructured":"Friedman, J. (1989). Regularized discriminant analysis. Journal of the American statistical association, 165\u2013175.","DOI":"10.1080\/01621459.1989.10478752"},{"key":"324_CR11","unstructured":"Fukunaga, K. (1972). Introduction to statistical pattern recognition: Academic Press."},{"key":"324_CR12","unstructured":"Gilad-Bachrach, R., Navot, A., Tishby, N. (2004). Margin based feature selection - theory and algorithms. In: Proceedings of the twenty-first international conferenceon Machine learning, 43. ACM, New York, NY, USA."},{"key":"324_CR13","first-page":"359","volume-title":"Correlation-based feature selection for discrete and numeric class machine learning. In: Proceedings of the Seventeenth International Conference on Machine Learning","author":"MA Hall","year":"2000","unstructured":"Hall, M.A. (2000). Correlation-based feature selection for discrete and numeric class machine learning. In: Proceedings of the Seventeenth International Conference on Machine Learning, (pp. 359\u2013366). San Francisco: Morgan Kaufmann (Publishers Inc.)"},{"issue":"2","key":"324_CR14","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1109\/TKDE.2007.190692","volume":"20","author":"X He","year":"2008","unstructured":"He, X., Cai, D., Han, J. (2008). Learning a maximum margin subspace for image retrieval. IEEE Transaction on Knowledge and Data Engineering, 20(2), 189\u2013201.","journal-title":"IEEE Transaction on Knowledge and Data Engineering"},{"key":"324_CR15","first-page":"507","volume-title":"Laplacian score for feature selection. In: Advances in Neural Information Processing Systems 18","author":"X He","year":"2006","unstructured":"He, X., Cai, D., Niyogi, P. (2006). Laplacian score for feature selection. In: Advances in Neural Information Processing Systems 18, (pp. 507\u2013514). Cambridge: MIT Press."},{"key":"324_CR16","doi-asserted-by":"crossref","unstructured":"Helleputte, T., & Dupont, P. (2009). Partially supervised feature selection with regularized linear models. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 409\u2013416. ACM.","DOI":"10.1145\/1553374.1553427"},{"issue":"2","key":"324_CR17","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/s11263-009-0268-3","volume":"88","author":"A Kapoor","year":"2010","unstructured":"Kapoor, A., Grauman, K., Urtasun, R., Darrell, T. (2010). Gaussian processes for object categorization. International Journal of Computer Vision, 88(2), 169\u2013188.","journal-title":"International Journal of Computer Vision"},{"key":"324_CR18","first-page":"249","volume-title":"A practical approach to feature selection. In: Proceedings of the ninth international workshop on Machine learning","author":"K Kira","year":"1992","unstructured":"Kira, K., & Rendell, L.A. (1992). A practical approach to feature selection. In: Proceedings of the ninth international workshop on Machine learning, (pp. 249\u2013256). San Francisco: Morgan Kaufmann (Publishers Inc.)"},{"key":"324_CR19","volume-title":"Machine Learning: ECML-94, Lecture Notes in Computer Science, vol. 784, pp. 171\u2013182","author":"I Kononenko","year":"1994","unstructured":"Kononenko, I. (1994). Estimating attributes: Analysis and extensions of relief In Bergadano, F., & De Raedt, L. (Eds.), Machine Learning: ECML-94, Lecture Notes in Computer Science, vol. 784, pp. 171\u2013182. Berlin \/ Heidelberg: Springer."},{"issue":"1","key":"324_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10994-008-5084-4","volume":"74","author":"B Kulis","year":"2009","unstructured":"Kulis, B., Basu, S., Dhillon, I., Mooney, R. (2009). Semi-supervised graph clustering: a kernel approach. Machine learning, 74(1), 1\u201322.","journal-title":"Machine learning"},{"key":"324_CR21","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1109\/TKDE.2005.66","volume":"17","author":"H Liu","year":"2005","unstructured":"Liu, H., & Yu, L. (2005). Toward integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering, 17, 491\u2013502.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"324_CR22","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.neucom.2012.05.031","volume":"105","author":"Y Liu","year":"2013","unstructured":"Liu, Y., Nie, F., Wu, J., Chen, L. (2013). Efficient semi-supervised feature selection with noise insensitive trace ratio criterion. Neurocomputing, 105, 12\u201318.","journal-title":"Neurocomputing"},{"key":"324_CR23","unstructured":"Quinlan, J. (1993). C4. 5: programs for machine learning: Morgan kaufmann."},{"key":"324_CR24","doi-asserted-by":"crossref","unstructured":"Ren, J., Qiu, Z., Fan, W., Cheng, H., Yu, P. (2008). Forward semi-supervised feature selection. Advances in Knowledge Discovery and Data Mining, 970\u2013976.","DOI":"10.1007\/978-3-540-68125-0_101"},{"key":"324_CR25","first-page":"1491","volume":"11","author":"I Rodriguez-Lujan","year":"2010","unstructured":"Rodriguez-Lujan, I., Huerta, R., Elkan, C., Santa Cruz, C. (2010). Quadratic programming feature selection. Journal of Machine Learning Research, 11, 1491\u20131516.","journal-title":"Journal of Machine Learning Research"},{"issue":"1","key":"324_CR26","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s10994-009-5125-7","volume":"78","author":"M Sugiyama","year":"2010","unstructured":"Sugiyama, M., Id\u00e9, T., Nakajima, S., Sese, J. (2010). Semi-supervised local fisher discriminant analysis for dimensionality reduction. Machine Learining, 78(1), 35\u201361.","journal-title":"Machine Learining"},{"key":"324_CR27","doi-asserted-by":"crossref","unstructured":"Wang, J., Jebara, T., Chang, S.F. (2008). Graph transduction via alternating minimization. In: Proceedings of the 25th international conference on Machine learning, pp. 1144\u20131151. ACM, New York, NY, USA.","DOI":"10.1145\/1390156.1390300"},{"key":"324_CR28","first-page":"1439","volume":"3","author":"J Weston","year":"2003","unstructured":"Weston, J., Elisseeff, A., Sch\u00f6lkopf, B., Tipping, M. (2003). Use of the zero norm with linear models and kernel methods. The Journal of Machine Learning Research, 3, 1439\u20131461.","journal-title":"The Journal of Machine Learning Research"},{"issue":"7","key":"324_CR29","first-page":"1033","volume":"21","author":"Z Xu","year":"2010","unstructured":"Xu, Z., King, I., Lyu, M., Jin, R. (2010). Discriminative semi-supervised feature selection via manifold regularization. Neural Networks. IEEE Transactions on, 21(7), 1033\u20131047.","journal-title":"IEEE Transactions on"},{"key":"324_CR30","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.J., Yang, Q., Lin, S. (2007). Graph embedding and extensions: A general framework for dimensionality reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 40\u201351.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"324_CR31","volume-title":"Computer Vision C ECCV 2008, Lecture Notes in Computer Science, vol. 5303, pp. 664\u2013677","author":"W Yang","year":"2008","unstructured":"Yang, W., Zhang, S., Liang, W. (2008). A graph based subspace semi-supervised learning framework for dimensionality reduction In Forsyth, D., Torr, P., Zisserman, A. (Eds.), Computer Vision C ECCV 2008, Lecture Notes in Computer Science, vol. 5303, pp. 664\u2013677. Berlin \/ Heidelberg: Springer."},{"key":"324_CR32","first-page":"1205","volume":"5","author":"L Yu","year":"2004","unstructured":"Yu, L., & Liu, H. (2004). Efficient feature selection via analysis of relevance and redundancy. Journal of Machine Learning Research, 5, 1205\u20131224.","journal-title":"Journal of Machine Learning Research"},{"issue":"10","key":"324_CR33","doi-asserted-by":"crossref","first-page":"1842","DOI":"10.1016\/j.neucom.2007.06.014","volume":"71","author":"J Zhao","year":"2008","unstructured":"Zhao, J., Lu, K., He, X. (2008). Locality sensitive semi-supervised feature selection. Neurocomputing, 71(10), 1842\u20131849.","journal-title":"Neurocomputing"},{"key":"324_CR34","doi-asserted-by":"crossref","unstructured":"Zhao, Z., & Liu, H. (2007). Semi-supervised feature selection via spectral analysis. SIAM International Conference on Data Mining.","DOI":"10.1137\/1.9781611972771.75"},{"key":"324_CR35","unstructured":"Zhou, D., Bousquet, O., Lal, T., Weston, J., Scholkopf, B. (2004). Learning with local and global consistency. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, pp. 595\u2013602."},{"key":"324_CR36","first-page":"10","volume":"10","author":"X Zhu","year":"2006","unstructured":"Zhu, X. (2006). Semi-supervised learning literature survey. world, 10, 10.","journal-title":"world"},{"key":"324_CR37","unstructured":"Zhu, X., Ghahramani, Z., Lafferty, J. (2003). Semi-supervised learning using gaussian fields and harmonic functions. Proceedings of the Nineteenth International Conference on Machine Learning, pp. 912\u2013919."}],"container-title":["Journal of Intelligent Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-014-0324-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10844-014-0324-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-014-0324-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,10]],"date-time":"2019-08-10T19:12:50Z","timestamp":1565464370000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10844-014-0324-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,5,25]]},"references-count":37,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,10]]}},"alternative-id":["324"],"URL":"https:\/\/doi.org\/10.1007\/s10844-014-0324-5","relation":{},"ISSN":["0925-9902","1573-7675"],"issn-type":[{"value":"0925-9902","type":"print"},{"value":"1573-7675","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,5,25]]}}}