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"feature dimensions" is a correct and usable phrase in written English.
It refers to the specific aspects or characteristics of something, particularly when discussing technology or design. Example: The new smartphone boasts impressive feature dimensions, including a high-resolution camera, a fast processor, and a sleek design.
Exact(60)
Semantic roles/relations may categorize into different feature dimensions.
Some indiscriminative feature dimensions may be mistakenly selected.
There are 25 feature dimensions in total, as follows: 1.
They claimed a comparable performance with much reduced feature dimensions.
Commonly, activity landscapes depict activity values in 2 feature dimensions.
› The discriminativity of the unselected feature dimensions - the noisier such feature dimensions are, the higher the improvement would be.
3 feature dimensions in T test and 5 feature dimensions in Kolmogorov Smirnov test are thought as different-distribution feature.
In addition to this, to reduce the correlation between feature dimensions, MLLT is used.
Minimum feature dimensions of 500 nm in polysilicon and 200 nm in LS-SiN is presented.
The proposed algorithms, especially mean and standard deviation feature vector, have small feature dimensions.
If there are different classes, LDA produces a transformation to feature dimensions.
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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