activity
20182026
most citedComputing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

math.FA2026

Spectral embedding through weak* limit of finite-dimensional approximations

Fabrice Nonez

The scope of this text is to study a process that induces another proof of the Spectral Embedding Theorem: that any densely defined symmetric operator can be extended by a multipli…

math.SP2025

A nonstandard approach to the direct integral version of the Spectral Theorem

Isaac Goldbring, Fabrice Nonez

We use nonstandard methods to prove the direct integral version of the Spectral Theorem for Unbounded Self-adjoint Operators. Our proof avoids the standard reduction to the case of…

math.FA2024

Spectral equivalences through nonstandard samplings

Fabrice Nonez

The goal of this paper is to introduce a process that generates, given Hilbert space and symmetric operator , an embedding of into an -space through which is ex…

cs.CV2019★ 1 cited

Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution

Dominique Beaini, Sofiane Achiche, Fabrice Nonez +4

In computer vision, the gradient and Laplacian of an image are used in different applications, such as edge detection, feature extraction, and seamless image cloning. Computing the…

cs.CV2018★ 4 cited

Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications

Dominique Beaini, Sofiane Achiche, Fabrice Nonez +1

In Computer Vision, edge detection is one of the favored approaches for feature and object detection in images since it provides information about their objects boundaries. Other r…