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Discover Ludwig"closest point" is a perfectly acceptable phrase in written English and can be used to describe a specific location.
For example, "I am standing at the closest point to the lake."
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A decision making process based on finding the closest point to the ideal point is used.
The point cloud registration methodology was based on the Iterative Closest Point (ICP) algorithm.
In this area, iterative closest point (ICP) is the best known method for registration.
Many variants of the Iterative Closest Point (ICP) algorithm have been proposed for registering point clouds.
In this paper, we propose a radial basis function (RBF) discretization of the closest point method.
Another possibility is to look at Sean Mauch's closest point transform algorithm.
The problem of finding the closest point in high-dimensional spaces is common in pattern recognition.
Fine registration can be achieved automatically by means of an Iterative Closest Point (ICP) procedure.
"It's the closest point to the colonies — the briefest sailing time.
Finally, the Iterative Closest Point (ICP) algorithm57 was applied to align the cropped images.
"Your partner is your closest point of reference, but we've never really collaborated [as artists].
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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