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- W2100074739 abstract "We use the invariance principle and the principles of maximum information extraction and maximum signal concentration to design a parallel, linear filter system that learns the Karhunen-Loeve expansion of a process from examples. In this paper we prove that the learning rule based on these principles forces the system into stable states that are pure eigenfunctions of the input process." @default.
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- W2100074739 date "1992-05-01" @default.
- W2100074739 modified "2023-09-27" @default.
- W2100074739 title "Computing the Karhunen-Loeve Expansion with a Parallel, Unsupervised Filter System" @default.
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- W2100074739 doi "https://doi.org/10.1162/neco.1992.4.3.382" @default.
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