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A background model is computed for each camera view, using a mixture of Gaussians to estimate the background color per pixel.
Similarly to N2, D2*is defined as the inner product of the standardized word counts as shown in Equation (3), but in this case n(w) only contains w itself, and the background model is computed on the concatenation of both sequences.
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Background models were computed using the Seeder::Background perl module [ 7].
The background models were computed from input sequences using a Markov model of order 2. To compare predicted CRM and ChIP-seq profiles, we defined a method to integrate the density of reads over a given region.
A fully adjusted model was computed.
Two source models are computed.
Two different models were computed.
All models were computed with STATA SE 10.0.
Descriptive statistics were computed using SAS© and longitudinal models were computed using MLwin 2.02© [ 27].
Linear models were computed using the limma package.
how the background model is represented?
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