{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:00:09Z","timestamp":1761580809637},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642158797"},{"type":"electronic","value":"9783642158803"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-15880-3_27","type":"book-chapter","created":{"date-parts":[[2010,8,17]],"date-time":"2010-08-17T14:08:53Z","timestamp":1282054133000},"page":"328-343","source":"Crossref","is-referenced-by-count":22,"title":["Constructing Nonlinear Discriminants from Multiple Data Views"],"prefix":"10.1007","author":[{"given":"Tom","family":"Diethe","sequence":"first","affiliation":[]},{"given":"David Roi","family":"Hardoon","sequence":"additional","affiliation":[]},{"given":"John","family":"Shawe-Taylor","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"27_CR1","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1145\/1015330.1015424","volume-title":"ICML 2004: Proceedings of the twenty-first international conference on Machine learning","author":"F.R. Bach","year":"2004","unstructured":"Bach, F.R., Lanckriet, G.R.G., Jordan, M.I.: Multiple kernel learning, conic duality, and the smo algorithm. In: ICML 2004: Proceedings of the twenty-first international conference on Machine learning, p. 6. ACM Press, New York (2004)"},{"key":"27_CR2","first-page":"455","volume":"7","author":"T.P. Centeno","year":"2006","unstructured":"Centeno, T.P., Lawrence, N.D.: Optimising kernel parameters and regularisation coefficients for non-linear discriminant analysis. Journal of Machine Learning Research\u00a07, 455\u2013491 (2006)","journal-title":"Journal of Machine Learning Research"},{"key":"27_CR3","unstructured":"Christoudias, C.M., Urtasun, R., Darrell, T.: Multi-view learning in the presence of view disagreement. In: Proceedings of Conference on Uncertainty in Artificial Intelligence, UAI (2008)"},{"key":"27_CR4","first-page":"407","volume":"32","author":"B. Efron","year":"2002","unstructured":"Efron, B., Hastie, T., Johnstone, L., Tibshirani, R.: Least angle regression. Annals of Statistics\u00a032, 407\u2013499 (2002)","journal-title":"Annals of Statistics"},{"key":"27_CR5","first-page":"355","volume-title":"Advances in Neural Information Processing Systems 18","author":"J. Farquhar","year":"2006","unstructured":"Farquhar, J., Hardoon, D., Meng, H., Shawe-Taylor, J., Szedmak, S.: Two view learning: SVM-2k, theory and practice. In: Weiss, Y., Sch\u00f6lkopf, B., Platt, J. (eds.) Advances in Neural Information Processing Systems 18, pp. 355\u2013362. MIT Press, Cambridge (2006)"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Girolami, M., Rogers, S.: Hierarchic bayesian models for kernel learning. In: ICML, pp. 241\u2013248 (2005)","DOI":"10.1145\/1102351.1102382"},{"issue":"12","key":"27_CR7","doi-asserted-by":"publisher","first-page":"2639","DOI":"10.1162\/0899766042321814","volume":"16","author":"D. Hardoon","year":"2004","unstructured":"Hardoon, D., Szedmak, S., Shawe-Taylor, J.: Canonical correlation analysis: An overview with application to learning methods. Neural Computation\u00a016(12), 2639\u20132664 (2004)","journal-title":"Neural Computation"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Kim, S.J., Magnani, A., Boyd, S.: Optimal kernel selection in kernel fisher discriminant analysis. In: ICML 2006: Proceedings of the 23rd international conference on Machine learning. pp. 465\u2013472. ACM, New York (2006)","DOI":"10.1145\/1143844.1143903"},{"key":"27_CR9","doi-asserted-by":"publisher","DOI":"10.1002\/0471660264","volume-title":"Combining Pattern Classifiers: Methods and Algorithms","author":"L.I. Kuncheva","year":"2004","unstructured":"Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley Interscience, Hoboken (2004)"},{"key":"27_CR10","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1162\/153244303321897726","volume":"3","author":"G.R. Lanckriet","year":"2003","unstructured":"Lanckriet, G.R., Ghaoui, L.E., Bhattacharyya, C., Jordan, M.I.: A robust minimax approach to classification. J. Mach. Learn. Res.\u00a03, 555\u2013582 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"27_CR11","unstructured":"Leen, G., Fyfe, C.: Learning shared and separate features of two related data sets using GPLVMs. Tech. rep., Presented at the NIPS 2008 workshop Learning from Multiple Sources (2008)"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Lowe, D.G.: Object recognition from local scale-invariant features. In: Proceedings of the 7th IEEE International Conference on Computer vision, Kerkyra, Greece, pp. 1150\u20131157 (1999)","DOI":"10.1109\/ICCV.1999.790410"},{"key":"27_CR13","unstructured":"Mika, S., R\u00e4tsch, G., M\u00fcller, K.R.: A mathematical programming approach to the kernel Fisher algorithm. In: Leen, T., Dietterich, T., Tresp, V. (eds.) Advances in Neural Information Processing Systems, vol.\u00a013, pp. 591\u2013597 (2001)"},{"issue":"4","key":"27_CR14","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1016\/j.neuroimage.2006.08.016","volume":"33","author":"J. Mour\u00e3o-Miranda","year":"2006","unstructured":"Mour\u00e3o-Miranda, J., Reynaud, E., McGlone, F., Calvert, G., Brammer, M.: The impact of temporal compression and space selection on svm analysis of single-subject and multi-subject fmri data. NeuroImage\u00a033(4), 1055\u20131065 (2006)","journal-title":"NeuroImage"},{"key":"27_CR15","unstructured":"Shawe-Taylor, J., Cristianini, N.: Estimating the moments of a random vector. In: Proceedings of GRETSI 2003 Conference, vol.\u00a01, pp. 47\u201352 (2003)"},{"key":"27_CR16","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.: Kernel Methods for Pattern Analysis. Cambridge University Press, Cambridge (2004)"},{"key":"27_CR17","unstructured":"Viitaniemi, V., Laaksonen, J.: Techniques for image classification, object detection and object segmentation applied to VOC challenge 2007. Tech. rep., Department of Information and Computer Science, Helsinki University of Technology, TKK (2008)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-15880-3_27.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T02:41:59Z","timestamp":1606185719000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-15880-3_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642158797","9783642158803"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-15880-3_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}