{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:45:58Z","timestamp":1772041558031,"version":"3.50.1"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2008,10,8]],"date-time":"2008-10-08T00:00:00Z","timestamp":1223424000000},"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":[[2009,1]]},"DOI":"10.1007\/s10994-008-5085-3","type":"journal-article","created":{"date-parts":[[2008,10,7]],"date-time":"2008-10-07T20:21:19Z","timestamp":1223410879000},"page":"23-38","source":"Crossref","is-referenced-by-count":48,"title":["Convergence analysis of kernel Canonical Correlation Analysis: theory and practice"],"prefix":"10.1007","volume":"74","author":[{"given":"David R.","family":"Hardoon","sequence":"first","affiliation":[]},{"given":"John","family":"Shawe-Taylor","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,10,8]]},"reference":[{"key":"5085_CR1","unstructured":"Akaho, S. (2001). A kernel method for canonical correlation analysis. In International meeting of psychometric society, Osaka."},{"key":"5085_CR2","doi-asserted-by":"crossref","unstructured":"Ambroladze, A., & Shawe-Taylor, J. (2004). Complexity of pattern classes and Lipschitz property. In Proceedings of the conference on algorithmic learning theory, ALT\u201904.","DOI":"10.1007\/978-3-540-30215-5_15"},{"key":"5085_CR3","first-page":"1","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":"5085_CR4","first-page":"463","volume":"3","author":"P. L. Bartlett","year":"2002","unstructured":"Bartlett, P. L., & Mendelson, S. (2002). Rademacher and Gaussian complexities: Risk bounds and structural results. Journal of Machine Learning Research, 3, 463\u2013482.","journal-title":"Journal of Machine Learning Research"},{"key":"5085_CR5","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1080\/01621459.1985.10478157","volume":"80","author":"L. Breiman","year":"1985","unstructured":"Breiman, L., & Friedman, J. H. (1985). Estimating optimal transformations for multiple regression. Journal of the American Statistical Association, 80, 580\u2013598.","journal-title":"Journal of the American Statistical Association"},{"key":"5085_CR6","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1016\/S1053-8119(03)00077-6","volume":"19","author":"O. Friman","year":"2003","unstructured":"Friman, O., Borga, M., Lundberg, P., & Knutsson, H. (2003). Adaptive analysis of fMRI data. NeuroImage, 19, 837\u2013845.","journal-title":"NeuroImage"},{"key":"5085_CR7","first-page":"361","volume":"8","author":"K. Fukumizu","year":"2006","unstructured":"Fukumizu, K., Bach, F. R., & Gretton, A. (2006). Consistency of kernel canonical correlation analysis. Journal of Machine Learning Research, 8, 361\u2013383.","journal-title":"Journal of Machine Learning Research"},{"key":"5085_CR8","unstructured":"Fyfe, C., & Lai, P. (2000). ICA using kernel canonical correlation analysis. In Proc. int. workshop on independent component analysis and blind signal separation."},{"key":"5085_CR9","unstructured":"Hardoon, D. R. (2006). Semantic models for machine learning. Ph.D. thesis, University of Southampton."},{"key":"5085_CR10","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":"5085_CR11","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":"5085_CR12","doi-asserted-by":"crossref","unstructured":"Hardoon, D. R., Saunders, C., Szedmak, S., & Shawe-Taylor, J. (2006). A\u00a0correlation approach for automatic image annotation. In Springer LNAI (Vol.\u00a04093, pp.\u00a0681\u2013692).","DOI":"10.1007\/11811305_75"},{"issue":"4","key":"5085_CR13","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":"5085_CR14","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":"5085_CR15","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":"5085_CR16","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1109\/NNSP.2002.1030096","volume-title":"Proceedings of IEEE workshop on neural networks for signal processing XII","author":"T. Kolenda","year":"2002","unstructured":"Kolenda, T., Hansen, L. K., Larsen, J., & Winther, O. (2002). Independent component analysis for understanding multimedia content. In H. Bourlard, T. Adali, S. Bengio, J. Larsen, & S. Douglas (Eds.), Proceedings of IEEE workshop on neural networks for signal processing XII (pp.\u00a0757\u2013766). New York: IEEE Press. Martigny, Valais, Switzerland, Sept. 4\u20136, 2002."},{"key":"5085_CR17","unstructured":"Kuss, M., & Graepel, T. (2002). The geometry of kernel canonical correlation analysis. Technical report, Max Planck Institute for Biological Cybernetics."},{"key":"5085_CR18","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1111\/j.2517-6161.1993.tb01936.x","volume":"55","author":"S. E. Leurgans","year":"1993","unstructured":"Leurgans, S. E., Moyeed, R. A., & Silverman, B. W. (1993). Canonical correlation analysis when the data are curves. Journal at the Royal Statistical Society, 55, 725\u2013740.","journal-title":"Journal at the Royal Statistical Society"},{"key":"5085_CR19","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":"5085_CR20","unstructured":"Vinokourov, A., Shawe-Taylor, J., & Cristianini, N. (2002). Inferring a semantic representation of text via cross-language correlation analysis. In Advances of neural information processing systems 15."},{"key":"5085_CR21","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."}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-008-5085-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-008-5085-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-008-5085-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T13:46:28Z","timestamp":1738417588000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-008-5085-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,10,8]]},"references-count":21,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,1]]}},"alternative-id":["5085"],"URL":"https:\/\/doi.org\/10.1007\/s10994-008-5085-3","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,10,8]]}}}