"Prior, we were going straight to lab testing, which forced the crime lab to really generate a lot of work really quickly," said Lt. Michael Connolly, who oversees operations for the S.F.P.D. "There's a cost in doing that, whereas now we get to pick and choose what cases are going to be tested".
The three games prior we played well but just didn't get results.
Using the coarse-grained community prior, we can get high level features of the nodes' categories.
Based on this sparsity prior, we formulate the sparse representation regularization term and incorporate it into the PR optimization problem.
The history of the above mentioned observations goes back to the work of Arthur N. Prior, we shall return to that later.
Prior we classify the messages appearing in the reference FG/SPA model (Figure 3) and their update rules, we found the following notation.
The next section gives the model for the mixing problem and describes the hierarchical Bayesian model that we use, including the prior we assume for the sources.
For the clean speech prior, we used a collection of random samples from the clean speech training set whose length was equal to that of the observation sample.
For tractability, we approximate R b ≃ σ b 2 I B. Using a noninformative prior, we have p ( R b ) = p ( σ b 2 ) ∝ 1 / σ b 2 [38].
As the image prior we utilize a variant of the generalized Gaussian distribution, given by p ( x | α ) = 1 Z GG exp − ∑ d ∈ D α d ∑ i | Δ i d ( x ) | p, (3).
where Ω(f) = -ln p(f) and so the Maximum A Posteriori (MAP) solution is expressed as the minimizer of this criterion which has two parts: the first part is due to the likelihood and the second part is due to the prior: Thus, depending on the choice of the prior we obtain different expressions for Ω(f).
