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In order to reduce the search space, LASSO regression implemented in the LARS package from R [ 43] was applied in the final round of the EM algorithm to determine whether to perform regularization.
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Thus, the system model itself serves as a filter performing regularization.
The full algorithm is comprised of three steps: defining features, classifying pixels and performing regularization.
In order to perform the regularization, we model d using its prior characteristics and form the energy term E P (d).
In order to perform the regularization, we propose to use the inhomogeneous Gaussian Markov random field (IGMRF) and sparsity priors in our energy function.
Instead of constructing the spectral Jacobian matrix first and performing the regularization second, we propose an alternative regularization technique that reverses the order of these two operations.
If the resolution enhancement is only performed, the regularization term is dependent only on the characteristic of the HR frame since the blur is commonly constant in all directions.
The dynamic light scattering data were produced by the program performing a regularization fit using the Dynals algorithm on the resultant autocorrelation functions.
We describe a new way of performing the regularization step that allows us to select a parameter in such a way that it improves the generalization, by looking for minimization of class errors not only for the self-class, but also for other classes and in-between classes.
Then a statement on how to perform the nonlinear regularization is presented specifically.
Thus, the innovative idea is to perform the POCS regularization in an aggregated multi-level fashion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com