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From that function, it creates a new target image.
The retrieval engine selects and displays images that closely match the view of the target image.
For a target image, its annotation is predicted based on a mutual similarity of the target image to the training images.
Each encrypted target image is separately encoded into a POF by using the MGSA which is with constraining the encrypted target image.
The pupil sizes of participants were measured while viewing target image.
The spatial target image (STI) is made by subtracting the predicted image from the original image.
For each trial, participants viewed scrambled versions of image and then viewed unscrambled versions (target image).
We demonstrate the efficacy of the method on the task of target image detection.
It also discusses the first test program, and explains how to execute the target image.
However, the color information in the target image remains notoriously difficult to interpret.
The target image is an underwater scene, and scattering of both direct and reflected light in the water is evident.
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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