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But this representation is too simple.
How this representation is formed has remained a mystery.
This representation is typically continuous but not differentiable.
This representation is based on 3D line segments.
This representation is used in a few algorithms [26, 27].
An example of this representation is presented in Fig. 5.
This representation is called the GL transform[24].
However, this representation is not optimal for a GPU architecture.
This representation is considered only for the LEADSTO based formalisation.
This representation is then used during categorization task.
This representation is able to address various optimization problems at a very reduced computational cost.
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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