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- W2028851400 abstract "This paper proposes a class of principal component analysis (PCA) learning algorithms with constant learning rates. It will prove via deterministic discrete time (DDT) method that these PCA learning algorithms are globally convergent." @default.
- W2028851400 created "2016-06-24" @default.
- W2028851400 creator A5071773009 @default.
- W2028851400 date "2010-08-01" @default.
- W2028851400 modified "2023-09-22" @default.
- W2028851400 title "A class of PCA learning algorithms and their convergence" @default.
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- W2028851400 doi "https://doi.org/10.1109/icacte.2010.5579030" @default.
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