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Recently, a new approach has been developed for learning the prior based on sparse representations.
This result suggests that the velocity composition of O+ strongly depends on the dynamics up to 10 hours prior (based on initially studies).
Is the prior based on memory for the object, or is it based on the visual information present at the surface?
The estimates for women seem a bit large relative to a casual prior based on the nature of the treatment and of the participants' underlying conditions.
We propose to calculate the prior based on inner ranks and inter ranks, such that each factor gives us a reward of following the link.
Inspired by this idea, in this paper, we extend the spatial sparsity prior to transform sparsity prior based on translation invariant Haar pyramid (TIHP) [16] for PR.
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Should it update its priors based on the new information?
Priors based on shape statistical models require modifications to the standard active contour model.
Because we have complete data for Iceland, in this paper we elicit informative priors based on the known distributions of the missing variables.
This is the main departure from the regular Pollster average, which doesn't use priors based on previous elections.
The Gaussian-prior based and uniform-prior based dictionary learning models were also compared.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com