Efficiently updating and tracking the do
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L. Hoegaerts; L. De Lathauwer; I. Goethals; J.A.K. Suykens; J. Vandewalle; B. De
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Article
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2007
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Elsevier Science
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English
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The dominant set of eigenvectors of the symmetrical kernel Gram matrix is used in many important kernel methods (like e.g. kernel Principal Component Analysis, feature approximation, denoising, compression, prediction) in the machine learning area. Yet in the case of dynamic and/or large-scale data,