%N 7
%V 51
%J IEEE TRANSACTIONS ON INFORMATION THEORY
%L discovery13441
%T On the eigenspectrum of the Gram matrix and the generalization error of kernel-PCA
%C LUBECK, GERMANY
%K 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
%A J Shawe-Taylor
%A CKI Williams
%A N Cristianini
%A J Kandola
%I IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
%P 2510-2522
%D 2005