Denoising and interior detection problems (Preprint)

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Type: Preprint
National /International: International
Title: Denoising and interior detection problems
Publication Date: 2020-11-02
Authors: - Paulo Eduardo Oliveira
- Nuno Picado
Abstract: Let ℳ be a compact manifold of d. The goal of this paper is to decide, based on a sample of points, whether the interior of ℳ is empty or not. We divide this work in two main parts. Firstly, under a dependent sample which may or may not contain some noise within, we characterize asymptotic properties of an interior detection test based on a suitable control of the dependence. Afterwards, we drop the dependence and consider a model where the points sampled from the manifold are mixed with some points sampled from a different measure (noisy observations). We study the behaviour with respect to the amount of noisy observations, introducing a methodology to identify true manifold points, characterizing convergence properties.
Institution: DMUC 20-30
Online version: http://www.mat.uc.pt...prints/eng_2020.html
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