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You see them all, but what's interesting is the transformation between them.
For example, the transformation between polar and Cartesian coordinates discussed in the preceding section is given by x = r cos θ and y = r sin θ.
The transformation between them is a gauge freedom.
The transformation between molecules was represented by the "difference fingerprint".
A set of original codes is implemented for the transformation between the coordinates.
The other direction is to learn the transformation between two cameras.
The transformation between both modalities is calculated with 3D thin-plate splines (3D TPS).
The transformation between spacecraft and magnetic field coordinate systems is implemented in the tool.
Thus, the transformation between the two shapes can be derived by the fine corresponding points.
The idea of a re-projection method is to determine the transformation between the two representations.
We model the transformation between a similarity model and a distance function using a transformation function.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com