We focus on the problem of minimizing a least-squares loss function under a k-sparse constraint. We investigate the continuous relaxation approach as well as optimization algorithms to apply on Single Molecule Localization Microscopy.
ℓ2 − ℓ0 optimization for single molecule localization microscopy / Bechensteen, Arne; Rebegoldi, Simone; Aubert, Gilles; Blanc-Féraud, Laure. - Part F105-MATH 2018:(2018), pp. 1-2. ( Mathematics in Imaging, MATH 2018 usa 2018) [10.1364/math.2018.mw2d.1].
ℓ2 − ℓ0 optimization for single molecule localization microscopy
Rebegoldi, Simone;
2018
Abstract
We focus on the problem of minimizing a least-squares loss function under a k-sparse constraint. We investigate the continuous relaxation approach as well as optimization algorithms to apply on Single Molecule Localization Microscopy.
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