Image denoising—removal of additive white Gaussian noise from an image—is one of the
oldest and most studied problems in image processing. Extensive work over several …

Over the last decades, the total variation (TV) has evolved to be one of the most broadly-
used regularisation functionals for inverse problems, in particular for imaging applications …

This paper compares several well known sliding-window methods for denoising crystal
orientation data with variational methods adapted from mathematical image analysis. The …

Abstract Single-cell RNA-Seq (scRNA-seq) is invaluable for studying biological systems.
Dimensionality reduction is a crucial step in interpreting the relation between cells in scRNA …

In this paper, we consider the problem of domain adaptation. We propose to view the data
through the lens of covariance matrices and present a method for domain adaptation using …

Full-waveform inversion (FWI) is an iterative nonlinear waveform matching procedure, which
seeks to reconstruct unknown model parameters from partial waveform measurements. The …

Manopt. jl provides a set of optimization algorithms for optimization problems given on a
Riemannian manifold M. Based on a generic optimization framework, together with the …

Objective. This paper presents a novel domain adaptation (DA) framework to enhance the
accuracy of electroencephalography (EEG)-based auditory attention classification …

We present the Julia package Manifolds. jl, providing a fast and easy-to-use library of
Riemannian manifolds and Lie groups. This package enables working with data defined on …

This paper introduces a new notion of a Fenchel conjugate, which generalizes the classical
Fenchel conjugation to functions defined on Riemannian manifolds. We investigate its …