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 A.; Rebegoldi S.; Aubert G.; Blanc-Feraud L.. - ELETTRONICO. - 2018:(2018), pp. 0-0. (Intervento presentato al convegno Mathematics in Imaging, MATH 2018 tenutosi a usa nel 2018) [10.1364/MATH.2018.MW2D.1].

ℓ2-ℓ0 optimization for single molecule localization microscopy

Rebegoldi S.
Membro del Collaboration Group
;
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.
2018
Optics InfoBase Conference Papers
Mathematics in Imaging, MATH 2018
usa
Goal 9: Industry, Innovation, and Infrastructure
Bechensteen A.; Rebegoldi S.; Aubert G.; Blanc-Feraud L.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1188731
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