activity
20122026
most citedFaster-than-fast NMF using random projections and Nesterov iterations

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

collaborators

5 papers

cs.CV2026

SVH-BD : Synthetic Vegetation Hyperspectral Benchmark Dataset for Emulation of Remote Sensing Images

Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel +1

This dataset provides a large collection of 10,915 synthetic hyperspectral image cubes paired with pixel-level vegetation trait maps, designed to support research in radiative tran…

cs.CV2026

A Variational Latent-Space Framework for Uncertainty-Aware Spectral Image Emulation

Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel +1

Synthetic spectral image generation is essential for remote sensing simulation and mission design, yet physically based radiative transfer models (RTMs) remain computationally expe…

eess.SP2020

Gaussian Compression Stream: Principle and Preliminary Results

Farouk Yahaya, Matthieu Puigt, Gilles Delmaire +1

Random projections became popular tools to process big data. In particular, when applied to Nonnegative Matrix Factorization (NMF), it was shown that structured random projections…

eess.SP2018★ 3 cited

Faster-than-fast NMF using random projections and Nesterov iterations

Farouk Yahaya, Matthieu Puigt, Gilles Delmaire +1

Random projections have been recently implemented in Nonnegative Matrix Factorization (NMF) to speed-up the NMF computations, with a negligible loss of performance. In this paper,…

cs.IT2012★ 1 cited

Post-Nonlinear Sparse Component Analysis Using Single-Source Zones and Functional Data Clustering

Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris

In this paper, we introduce a general extension of linear sparse component analysis (SCA) approaches to postnonlinear (PNL) mixtures. In particular, and contrary to the state-of-ar…