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The parameters of the reference descriptors GF and GLCM are also optimized for each dataset.
They did not quantize the descriptors, but retained all of the reference descriptors in their original form.
The other reference descriptors are inferior to all the tested rotation invariant forms of the LBP descriptors.
The selected reference descriptors are Gabor filter banks (GF) and commonly used descriptors derived from the GLCM, also known as Haralick features.
To put their performance into perspective they are compared to three well-known reference descriptors; the classic LBP, Gabor filter banks (GF), and standard descriptors derived from gray-level co-occurrence matrices.
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The "Reference" descriptor is more likely to pertain to a depiction or dialogue whereas the "Use of" descriptor entails exactly that, whether by the player or another character in the game.
After matching all possible descriptors, we are now able to eliminate unwanted keypoints and their neighbours to locate an area of interest in the incoming frame based on Equation 4, where Dr and Df represent the reference descriptor and frame descriptor, respectively.
Qualitative methods could be helpful in deciding what should be encompassed in a "reference descriptor" as well as understanding the trade-off between content and ability to compare across diseases of the current utility descriptors.
Then the local FV is correlated with reference object descriptors.
In the ALTE framework, for example, reading ability is specified and described in three contexts separately social and travel contexts, the workplace, and studying, providing convenience for users to make reference to descriptors in particular areas.
Figure 6 Reference object descriptor generation flow.
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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