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I had hoped, apropos of the Guggenheim and moca shows, to announce that minimalism is at last firmly historical — over, that is, as the background model of what it means to address contemporary reality honestly and creatively on a public scale.
The first distributions are chosen as the background model, where (2).
When Gaussian distributions have greater weight and smaller variance, they are usually identified as the background model.
Therefore, detecting real fish by background subtraction using a static model or using the most recent frames as the background model is not effective.
The second column shows background subtraction: d the image used as the background model, e the frame of interest prior to background subtraction, and f the foreground image.
This model assumes that the background is more likely to appear in a scene in the sequence of frame, so it uses the median of the previous n frames I as the background model (Equation 3).
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However, by using a set of related proteins as a database, the background model assumption that similarity hits will follow an extreme value distribution is violated.
This biases the statistical significance of non A-T rich motifs as found over the background model.
Following [ 17], we define the score distribution Q M, s) as the probability that the background model would generate a word ω with the exact score s.
Given a matrix M of length m and a score α, we define Q(M, α) as the probability that the background model can achieve a score equal to α.
The probability of recording a particular data set, D, consisting of p photons, from the two models, is denoted P (D | H s i g ) and P (D | H b g ), can be written as a joint probability as follows, and similarly for the background model, noting that here we can make use of the fact that ∫ p (w ) d w = 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com