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Exact(9)
The two recognition steps are discussed in detail below.
Figure 2 shows the basic recognition steps of chemical structure diagram extraction with ChemReader.
The standard approach is to separate out the localization, segmentation and recognition steps, but Google's new approach unifies all of these steps and uses a "deep convolutional neural network" — a kind of neural network that's especially effective for image recognition.
Currently, the programmes dedicated to optical flow are not limitative, as they require 1 10−1 s per frame, while the subsequent preprocessings and recognition steps require about 0.25 s.
The face is then rotated by, effectively placing both eyes at equal height, as shown in Figure 5. Once normalized for rotation, the face is geometrically warped in order to set the inter-eye distance to 40 pixels, chosen as a reasonable value to ensure effective performance of the subsequent recognition steps.
Through a combination of relaxed conserved domain database searches with subsequent fold recognition steps to eliminate false positive predictions due to high E-value settings, we provide accurate predictions of conserved domains that are well within and beyond the twilight zone of sequence similarity.
Similar(51)
It concerns the on-line recognition step.
Name recognition step: This recognizes the entity and assigns it to a class or entity type.
The description based on these features is used in the recognition step as neural network inputs.
The blue square is the area of interest which can be used for the recognition step.
This is due to the 9% error in the context recognition step.
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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