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Li et al., 2012 - Google Patents

On preserving original variables in Bayesian PCA with application to image analysis

Li et al., 2012

Document ID
4555896860941120890
Author
Li J
Tao D
Publication year
Publication venue
IEEE Transactions on Image Processing

External Links

Snippet

Principal component analysis (PCA) computes a succinct data representation by converting the data to a few new variables while retaining maximum variation. However, the new variables are difficult to interpret, because each one is combined with all of the original input …
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