Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
A robust distance measure between two skeletal representations is designed.
In order to construct and check the GC, a compatibility measure between two belief structures is developed first.
Inspired by the concept of a deviation measure between two matrices, an individual consistency index and a group consensus index are presented.
This method requires a view-independent distance or dissimilarity measure between two targets.
The Kullback-Leibler divergence can be seen as a dissimilarity measure between two probability functions.
In the literature, BD is used as a dissimilarity measure between two probability distributions.
The Kullback-Leibler (KL) divergence is an information-theoretically motivated measure between two probability distributions.
For similarity measure between two feature points, we adopt the rotation invariant normalized cross-correlation.
The merging condition consists of a similarity measure between two blocks and defined as (6).
A tall ring of grass surrounds the barren centres, which can measure between two and 20 metres in diameter.
To compute the similarity measure between two spatial MDX queries, we propose to compute the distance between these queries.
Write better and faster with AI suggestions while staying true to your unique style.
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