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- W2096299622 abstract "Canonical correlation analysis (CCA) is equivalent to finding mutual information-maximizing projections for normally distributed data. We remove the restriction of normality by non-parametric estimation, and formulate the problem of finding dependent components with a connection to Bayes factors. The method is applied for characterizing yeast stress by finding what is in common in several different stress conditions." @default.
- W2096299622 created "2016-06-24" @default.
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- W2096299622 date "2006-10-04" @default.
- W2096299622 modified "2023-09-25" @default.
- W2096299622 title "Non-parametric Dependent Components" @default.
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- W2096299622 doi "https://doi.org/10.1109/icassp.2005.1416277" @default.
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