activity
20012023
most citedJoint k-step analysis of Orthogonal Matching Pursuit and Orthogonal Least Squares

69 citations · 323 across the 21 of their papers we have counts for

collaborators

21 papers

cs.CV2023★ 3 cited

Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models

Yuxin Zhang, Clément Huneau, Jérôme Idier +1

Ultrasound image reconstruction can be approximately cast as a linear inverse problem that has traditionally been solved with penalized optimization using the or norm,…

physics.data-an2021

Uniqueness of the Random Illumination Microscopy Variance Equation

Simon Labouesse, Jérôme Idier, Anne Sentenac +1

Recently, it has been shown theoretically that fluorescence microscopy using random illuminations (RIM) yields a doubled lateral resolution and an improved optical sectioning. More…

eess.SP2021

A Partially Collapsed Sampler for Unsupervised Nonnegative Spike Train Restoration

Mehdi Chahine Amrouche, Hervé Carfantan, Jérôme Idier

In this paper the problem of restoration of non-negative sparse signals is addressed in the Bayesian framework. We introduce a new probabilistic hierarchical prior, based on the Ge…

math.OC2021

SLS (Single Selection): a new greedy algorithm with an -norm selection rule

Ramzi Ben Mhenni, Sébastien Bourguignon, Jérôme Idier

In this paper, we propose a new greedy algorithm for sparse approximation, called SLS for Single L_1 Selection. SLS essentially consists of a greedy forward strategy, where the sel…

eess.IV2020★ 1 cited

Local-mean preserving post-processing step for non-negativity enforcement in PET imaging: application to Y-PET

Maël Millardet, Saïd Moussaoui, Diana Mateus +2

In a low-statistics PET imaging context, the positive bias in regions of low activity is a burning issue. To overcome this problem, algorithms without the built-in non-negativity c…

cs.LG2020★ 13 cited

Multiplicative Updates for NMF with -Divergences under Disjoint Equality Constraints

Valentin Leplat, Nicolas Gillis, Jérôme Idier

Nonnegative matrix factorization (NMF) is the problem of approximating an input nonnegative matrix, , as the product of two smaller nonnegative matrices, and . In this pa…