Spatial patterns and the zonal mean distribution of the E2E P99 were very similar to those of E2E mean.
The posterior distribution given above is Gaussian distribution with mean (boldsymbol {mu }^{n}_{c^,c^,i}) and the variance (boldsymbol {Sigma }^{n}_{c^,c^,i}) are given by boldsymbol{mu}^{n}_{c^,c^,i}= {sigma}^{-2} boldsymbol{Sigma} mathbf{A}^{n}_{c^ mathbf{y}_{c^,i}, (12).
In this work, the deep features of both RGB and depth images are assumed to have been generated from a Gaussian distribution with a mean of ({mu _{jk},[j]_{1}^{N}}) and a variance of ({sigma _{jk}^{2},[j]_{1}^{N}}).
y and x are the corresponding observed states, and z is the hidden variable, where each feature x j is assumed to have been generated from one of C Gaussian distributions with a mean of ({mu _{jk},[j]_{1}^{N}}) and a variance of ({sigma _{jk}^{2},[j]_{1}^{N}}), and y is either 0 or 1, indicating whether the pixel is salient.
That means it must use all means of distribution at its disposal.
The people have both the means of production and the means of distribution.
He doesn't just own the means of production, he owns the means of distribution.
The means of distribution, however, remain more elusive.
Distribution borrower means a Distribution Borrower as defined in 7 CFR 1710.2.
The video camera did it again, and the Internet is democratizing the means of distribution.
