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This study builds a background for future research on design for sustainability and for spreading its use by companies, universities, intermediaries and policy makers.
This study builds a background for miRNA-target interaction based-research in APP infection in pig.
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Second, we build a background distribution with these data.
Firstly, we build a background model with CB algorithm.
Suppose a buffer of 50 previous frames is used to build a background model.
We want to build a background model for each frame such that the only 'foreground' would be the real fish.
This advantage allows us to build a background model of relatively few samples, since the classifier is not very sensitive to the robustness of the background model.
Stauffer and Grimson [9] address the low- and the high-intensity regions problem by using a mixture of Gaussians to build a background color model for every pixel.
We exploit this specific feature of these videos to build a background model for each frame using the similar frames that exist in the whole video.
Our main contribution is to exploit the periodicity of the videos and build a background model, which enables us to discount all moving parts of the set-up except the fish.
The fact that on MSA this algorithm outperforms the others is likely due to its model initialization technique, that is able to rapidly build a background model from few uncluttered frames.
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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