{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:06:12Z","timestamp":1773511572267,"version":"3.50.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2010,11,6]],"date-time":"2010-11-06T00:00:00Z","timestamp":1289001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2011,6]]},"DOI":"10.1007\/s10994-010-5222-7","type":"journal-article","created":{"date-parts":[[2010,11,5]],"date-time":"2010-11-05T20:45:48Z","timestamp":1288989948000},"page":"331-353","source":"Crossref","is-referenced-by-count":203,"title":["Sparse canonical correlation analysis"],"prefix":"10.1007","volume":"83","author":[{"given":"David R.","family":"Hardoon","sequence":"first","affiliation":[]},{"given":"John","family":"Shawe-Taylor","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,11,6]]},"reference":[{"key":"5222_CR1","volume-title":"International meeting of psychometric society","author":"S. Akaho","year":"2001","unstructured":"Akaho, S. (2001). A kernel method for canonical correlation analysis. In International meeting of psychometric society, Osaka."},{"key":"5222_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/153244303768966085","volume":"3","author":"F. Bach","year":"2002","unstructured":"Bach, F., & Jordan, M. (2002). Kernel independent component analysis. Journal of Machine Leaning Research, 3, 1\u201348.","journal-title":"Journal of Machine Leaning Research"},{"key":"5222_CR3","doi-asserted-by":"crossref","first-page":"580","DOI":"10.2307\/2288473","volume":"80","author":"L. Breiman","year":"1985","unstructured":"Breiman, L., & Friedman, L. H. (1985). Estimating optimal transformations for multiple regression and correlation. Journal of the American Statistical Association, 80, 580\u2013598.","journal-title":"Journal of the American Statistical Association"},{"issue":"1","key":"5222_CR4","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1137\/S1064827596304010","volume":"20","author":"S. S. Chen","year":"1999","unstructured":"Chen, S. S., Donoho, D. L., & Saunders, M. A. (1999). Atomic decomposition by basis pursuit. SIAM Journal on Scientific Computing, 20(1), 33\u201361.","journal-title":"SIAM Journal on Scientific Computing"},{"issue":"3","key":"5222_CR5","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1137\/050645506","volume":"49","author":"A. d\u2019Aspremont","year":"2007","unstructured":"d\u2019Aspremont, A., Ghaoui, L. E., Jordan, M. I., & Lanckriet, G. (2007). A direct formulation for sparse pca using semidefinite programming. SIAM Review, 49(3), 434\u2013448.","journal-title":"SIAM Review"},{"key":"5222_CR6","first-page":"27","volume-title":"Proceedings of the IEEE international workshop on machine learning for signal processing","author":"C. Dhanjal","year":"2006","unstructured":"Dhanjal, C., Gunn, S. R., & Shawe-Taylor, J. (2006). Sparse feature extraction using generalised partial least squares. In Proceedings of the IEEE international workshop on machine learning for signal processing (pp. 27\u201332)."},{"key":"5222_CR7","volume-title":"Proceedings of the 12th Scandinavian conference on image analysis","author":"O. Friman","year":"2001","unstructured":"Friman, O., Borga, M., Lundberg, P., & Knutsson, H. (2001a). A correlation framework for functional MRI data analysis. In Proceedings of the 12th Scandinavian conference on image analysis, Bergen, Norway, June 2001."},{"issue":"2","key":"5222_CR8","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1002\/1522-2594(200102)45:2<323::AID-MRM1041>3.0.CO;2-#","volume":"450","author":"O. Friman","year":"2001","unstructured":"Friman, O., Carlsson, J., Lundberg, P., Borga, M., & Knutsson, H. (2001b). Detection of neural activity in functional MRI using canonical correlation analysis. Magnetic Resonance in Medicine, 450(2), 323\u2013330.","journal-title":"Magnetic Resonance in Medicine"},{"key":"5222_CR9","first-page":"361","volume":"8","author":"K. Fukumizu","year":"2007","unstructured":"Fukumizu, K., Bach, F. R., & Gretton, A. (2007). Consistency of kernel canonical correlation analysis. Journal of Machine Learning Research, 8, 361\u2013383.","journal-title":"Journal of Machine Learning Research"},{"key":"5222_CR10","first-page":"279","volume-title":"Proc. int. workshop on independent component analysis and blind signal separation (ICA 2000)","author":"C. Fyfe","year":"2000","unstructured":"Fyfe, C., & Lai, P. L. (2000). ICA using kernel canonical correlation analysis. In Proc. int. workshop on independent component analysis and blind signal separation (ICA 2000) (pp. 279\u2013284)."},{"key":"5222_CR11","volume-title":"Proceedings of third international workshop on content-based multimedia indexing","author":"D. R. Hardoon","year":"2003","unstructured":"Hardoon, D. R., & Shawe-Taylor, J. (2003). KCCA for different level precision in content-based image retrieval. In Proceedings of third international workshop on content-based multimedia indexing, IRISA, Rennes, France."},{"key":"5222_CR12","unstructured":"Hardoon, D., & Shawe-Taylor, J. (2007). Sparse canonical correlation analysis (Technical report). UK: University College London."},{"issue":"1","key":"5222_CR13","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/s10994-008-5085-3","volume":"74","author":"D. R. Hardoon","year":"2009","unstructured":"Hardoon, D. R., & Shawe-Taylor, J. (2009). Convergence analysis of kernel canonical correlation analysis: Theory and practice. Machine Learning, 74(1), 23\u201338.","journal-title":"Machine Learning"},{"key":"5222_CR14","unstructured":"Hardoon, D. R., Szedmak, S., & Shawe-Taylor, J. (2003). Canonical correlation analysis; an overview with application to learning methods (Technical Report CSD-TR-03-02). Royal Holloway University of London."},{"key":"5222_CR15","doi-asserted-by":"crossref","first-page":"2639","DOI":"10.1162\/0899766042321814","volume":"16","author":"D. R. Hardoon","year":"2004","unstructured":"Hardoon, D. R., Szedmak, S., & Shawe-Taylor, J. (2004). Canonical correlation analysis: an overview with application to learning methods. Neural Computation, 16, 2639\u20132664.","journal-title":"Neural Computation"},{"key":"5222_CR16","first-page":"681","volume-title":"Springer LNAI","author":"D. R. Hardoon","year":"2006","unstructured":"Hardoon, D. R., Saunders, C., Szedmak, S., & Shawe-Taylor, J. (2006). A correlation approach for automatic image annotation. In Springer LNAI (Vol.\u00a04093, pp. 681\u2013692). Berlin: Springer."},{"issue":"4","key":"5222_CR17","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1016\/j.neuroimage.2007.06.017","volume":"37","author":"D. R. Hardoon","year":"2007","unstructured":"Hardoon, D. R., Mourao-Miranda, J., Brammer, M., & Shawe-Taylor, J. (2007). Unsupervised analysis of fmri data using kernel canonical correlation. NeuroImage, 37(4), 1250\u20131259.","journal-title":"NeuroImage"},{"key":"5222_CR18","volume-title":"Generalized additive models","author":"T. J. Hastie","year":"1990","unstructured":"Hastie, T. J., & Tibshirani, R. J. (1990). Generalized additive models. London\/Boca Raton: Chapman & Hall\/CRC Press."},{"key":"5222_CR19","first-page":"1385","volume":"7","author":"M. Heiler","year":"2006","unstructured":"Heiler, M., & Schnor, C. (2006). Learning sparse representations by non-negative matrix factorization and sequential cone programming. Journal of Machine Learning Research, 7, 1385\u20131407.","journal-title":"Journal of Machine Learning Research"},{"key":"5222_CR20","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1093\/biomet\/28.3-4.321","volume":"28","author":"H. Hotelling","year":"1936","unstructured":"Hotelling, H. (1936). Relations between two sets of variates. Biometrika, 28, 312\u2013377.","journal-title":"Biometrika"},{"key":"5222_CR21","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1093\/biomet\/58.3.433","volume":"58","author":"J. R. Ketterling","year":"1971","unstructured":"Ketterling, J. R. (1971). Canonical analysis of several sets of variables. Biometrika, 58, 433\u2013451.","journal-title":"Biometrika"},{"key":"5222_CR22","first-page":"79","volume-title":"Conference proceedings: the tenth machine translation summit","author":"P. Koehn","year":"2005","unstructured":"Koehn, P. (2005). Europarl: A multilingual corpus for evaluation of machine translation. In Conference proceedings: the tenth machine translation summit (pp. 79\u201386)."},{"issue":"5","key":"5222_CR23","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1142\/S012906570000034X","volume":"10","author":"P. L. Lai","year":"2000","unstructured":"Lai, P. L., & Fyfe, C. (2000). Kernel and nonlinear canonical correlation analysis. International Journal of Neural Systems, 10(5), 365\u2013377.","journal-title":"International Journal of Neural Systems"},{"key":"5222_CR24","volume-title":"Proceedings of the 20th annual conference on neural information process systems (NIPS)","author":"H. Lee","year":"2006","unstructured":"Lee, H., Battle, A., Raina, R., & Ng, A. Y. (2006). Efficient sparse coding algorithms. In Proceedings of the 20th annual conference on neural information process systems (NIPS)."},{"key":"5222_CR25","volume-title":"Neural information processing systems (NIPS 06)","author":"B. Moghaddam","year":"2006","unstructured":"Moghaddam, B., Weiss, Y., & Avidan, S. (2006). Spectral bounds for sparse pca: Exact and greedy algorithms. In Neural information processing systems (NIPS 06)."},{"key":"5222_CR26","volume-title":"Proceedings of the 5th international conference on language resources and evaluation (LREC\u20192006)","author":"S. Ralf","year":"2006","unstructured":"Ralf, S., Pouliquen, B., Widiger, A., Ignat, C., Erjavec, T., Tufis, D., & Varga, D. (2006). The jrc-acquis: A multilingual aligned parallel corpus with 20+ languages. In Proceedings of the 5th international conference on language resources and evaluation (LREC\u20192006)."},{"issue":"1","key":"5222_CR27","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1109\/TNN.2003.809398","volume":"15","author":"V. Roth","year":"2004","unstructured":"Roth, V. (2004). The generalized lasso. IEEE Transactions on Neural Networks, 15(1), 16\u201328.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"5222_CR28","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809682","volume-title":"Kernel methods for pattern analysis","author":"J. Shawe-Taylor","year":"2004","unstructured":"Shawe-Taylor, J., & Cristianini, N. (2004). Kernel methods for pattern analysis. Cambridge: Cambridge University Press."},{"key":"5222_CR29","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1145\/1273496.1273601","volume-title":"Proceedings of 2nd international conference on machine learning","author":"B. K. Sriperumbudur","year":"2007","unstructured":"Sriperumbudur, B. K., Torres, D., & Lanckriet, G. (2007). Sparse eigen methods by d.c. programming. In C. Brodley & A. Danyluk (Eds.), Proceedings of 2nd international conference on machine learning (pp.\u00a0831\u2013838). San Mateo: Morgan Kaufmann."},{"key":"5222_CR30","volume-title":"15th European symposium on artificial neural networks (ESANN)","author":"S. Szedmak","year":"2007","unstructured":"Szedmak, S., De\u00a0Bie, T., & Hardoon, D. R. (2007). A metamorphosis of canonical correlation analysis into multivariate maximum margin learning. In 15th European symposium on artificial neural networks (ESANN)."},{"key":"5222_CR31","unstructured":"Tibshirani, R. (1994). Regression shrinkage and selection via the lasso (Technical report). University of Toronto."},{"key":"5222_CR32","volume-title":"Proceedings of the 8th international conference on music information retrieval","author":"D. Torres","year":"2007","unstructured":"Torres, D., Turnbull, D., Barrington, L., & Lanckriet, G. (2007). Identifying words that are musically meaningful. In Proceedings of the 8th international conference on music information retrieval."},{"key":"5222_CR33","volume-title":"Proceedings of fourth international symposium on independent component analysis and blind source separation","author":"A. Vinokourov","year":"2003","unstructured":"Vinokourov, A., Hardoon, D. R., & Shawe-Taylor, J. (2003). Learning the semantics of multimedia content with application to web image retrieval and classification. In Proceedings of fourth international symposium on independent component analysis and blind source separation, Nara, Japan."},{"key":"5222_CR34","doi-asserted-by":"crossref","first-page":"1439","DOI":"10.1162\/153244303322753751","volume":"3","author":"J. Weston","year":"2003","unstructured":"Weston, J., Elisseeff, A., Scholkopf, B., & Tipping, M. (2003). Use of the zero norm with linear models and kernel method. Journal of Machine Learning Research, 3, 1439\u20131461.","journal-title":"Journal of Machine Learning Research"},{"key":"5222_CR35","unstructured":"Zou, H., Hastie, T., & Tibshirani, R. (2004). Sparse principal component analysis (Technical report). Statistics department, Stanford University."}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-010-5222-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-010-5222-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-010-5222-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T03:35:46Z","timestamp":1636774546000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-010-5222-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,11,6]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2011,6]]}},"alternative-id":["5222"],"URL":"https:\/\/doi.org\/10.1007\/s10994-010-5222-7","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,11,6]]}}}