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Found 8 papers, 6 papers with code
Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth
Denoising is omnipresent in image processing.
Optical Diffraction Tomography Meets Fluorescence Localization Microscopy
We show that structural information can be extracted from single molecule localization microscopy (SMLM) data.
Deep Unrolling for Nonconvex Robust Principal Component Analysis
We design algorithms for Robust Principal Component Analysis (RPCA) which consists in decomposing a matrix into the sum of a low rank matrix and a sparse matrix.
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening
Non-negative and bounded-variable linear regression problems arise in a variety of applications in machine learning and signal processing.
Leveraging Joint-Diagonalization in Transform-Learning NMF
Non-negative matrix factorization with transform learning (TL-NMF) is a recent idea that aims at learning data representations suited to NMF.
Expanding boundaries of Gap Safe screening
In this work, we extend the existing Gap Safe screening framework by relaxing the global strong-concavity assumption on the dual cost function.
Pocket Guide to Solve Inverse Problems with GlobalBioIm
GlobalBioIm is an open-source MATLAB library for solving inverse problems.
Mathematical Software
Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography
Optical diffraction tomography relies on solving an inverse scattering problem governed by the wave equation.
Computational Engineering, Finance, and Science Numerical Analysis Data Analysis, Statistics and Probability Optics
