On the eigenspectrum of the Gram matrix and the generalization error of kernel-PCA

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On the eigenspectrum of the Gram matrix and the generalization error of kernel-PCA

Shawe-Taylor, J; Williams, CKI; Cristianini, N; Kandola, J; (2005) On the eigenspectrum of the Gram matrix and the generalization error of kernel-PCA. IEEE TRANSACTIONS ON INFORMATION THEORY , 51 (7) pp. 2510-2522. 10.1109/TIT.2005.850052. Green open access

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Type:	Article
Title:	On the eigenspectrum of the Gram matrix and the generalization error of kernel-PCA
Location:	LUBECK, GERMANY
Open access status:	An open access version is available from UCL Discovery
DOI:	10.1109/TIT.2005.850052
Keywords:	Science & Technology, Technology, Computer Science, Information Systems, Engineering, Electrical & Electronic, Computer Science, Engineering, concentration bounds, Gram matrices, kernel methods, principal components analysis (PCA), Rademacher complexity, spectra of random matrices, statistical learning theory, ASYMPTOTIC-DISTRIBUTION, LATENT ROOTS, INEQUALITIES, EIGENVALUES, COVARIANCE
UCL classification:	UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI:	https://discovery.ucl.ac.uk/id/eprint/13441

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