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We aim to show the contribution of analytic dimension and denoising based on regularization of coefficients depending on the local neighborhood and phase.
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Moreover, some interesting recent results were obtained by adopting statistical learning methods based on regularization for a joint segmentation of many aCGH profiles at once.
Here, we propose a likelihood ratio type procedure based on regularization to test stochastic block models with bounded degrees.
In this paper, we investigate a proximal point algorithm with double computational errors based on regularization ideas in the framework of Banach spaces.
We numerically solve the family of integral equations under consideration by a collocation method and provide a study of reconstructions based on the regularization of the ill-posed integral operators under consideration.
Recently, many authors studied zero points of monotone operators based on different regularization methods; see [17 29] and the references therein.
Embedded methods perform feature selection in the process of model training based on sparsity regularization [64, 65, 66, 67].
Hence, we propose a stabilized formulation based on a local regularization of the fluid velocity along the tangential directions on the Neumann boundaries.
Fig. 7 Optimal regularization parameters computed from the L-curve methodology based on various regularization matrices.
A robust method based on linear regularization theory is developed to extract PSD of heterogeneous solid adsorbents from highly noisy condensation isotherms with almost no a priori assumption.
The experimental results show that the structural similarity of image restoration method based on double regularization is increased, and the image quality is improved.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com