# Local conformal autoencoder for standardized data coordinates

@article{Peterfreund2020LocalCA, title={Local conformal autoencoder for standardized data coordinates}, author={Erez Peterfreund and Ofir Lindenbaum and Felix Dietrich and Tom S. Bertalan and Matan Gavish and Ioannis G. Kevrekidis and Ronald R. Coifman}, journal={Proceedings of the National Academy of Sciences of the United States of America}, year={2020}, volume={117}, pages={30918 - 30927} }

Significance A fundamental issue in empirical science is the ability to calibrate between different types of measurements/observations of the same phenomenon. This naturally suggests the selection of canonical variables, in the spirit of principal components, to enable matching/calibration among different observation modalities/instruments. We develop a method for extracting standardized, nonlinear, intrinsic coordinates from measured data, leading to a generalized isometric embedding of the…

## 11 Citations

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