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A smaller anomaly visible in both the average - and the standard deviation image is marked by another white arrow.
As David Starkey, an historian at Cambridge University, puts it: "The change in his public image is marked by the disappearance of the one person who was constantly upstaging him".
Each image is marked with 5 different signatures where the signature size is 64 bits.
Firstly, the different object in the image is marked by the method of labeling, and then, the area of each object is calculated to extract the target objects through threshold set.
The evidence just keeps pilling on: the f-stop is slightly higher than that of the iPhone 4, the maker of the camera is labeled of Apple, and the image is marked with AppleMark, somewhat indicating that the image was imported to a OS X computer through Image Capture.
The apex tip of each capillary in a nailfold image is marked by a vascular technician with a cursor via a user interface.
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One root per image was marked for examination.
The locations of the condensations in this image are marked with black and red dots.
The centers of the fovea and the OD in each image were marked by expert graders as the ground truth.
Regions of the source image are marked as belonging to one of any number of classes and the values of the source image, and the filtered copies in those regions are then used as training data for a classifier algorithm.
For many years, Nelson's image was marked by his red hair, often divided into two long braids partially concealed under a bandanna.
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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