Efficient Tracking of the Dominant Eigenspace of a Normalized Kernel Matrix

DOI10.1162/neco.2007.05-06-213zbMath1146.68413OpenAlexW1986706784WikidataQ45964963 ScholiaQ45964963MaRDI QIDQ5446248

Ilse Y. Smets, Geert Gins, Jan F. Van Impe

Publication date: 6 March 2008

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/212385

zbMATH Keywords

machine learningkernel-based methods

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Efficiently updating and tracking the dominant kernel principal components
• An Expectation-Maximization Approach to Nonlinear Component Analysis

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