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20202026
most citedDerivation of Symmetric PCA Learning Rules from a Novel Objective Function

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cs.NE2022

Derivation of Learning Rules for Coupled Principal Component Analysis in a Lagrange-Newton Framework

Ralf Möller

We describe a Lagrange-Newton framework for the derivation of learning rules with desirable convergence properties and apply it to the case of principal component analysis (PCA). I…