Global optimization of L0-norm-based sparse approximation criteria with a branch-and-bound algorithm

Ramzi Ben Mhenni (1) , Sébastien Bourguignon (1) , Jordan Ninin (2)

1 LS2N - Laboratoire des Sciences du Numérique de Nantes
2 Lab-STICC_ENSTAB_CID_PRASYS

Domaines: Traitement du signal et de l'image [eess.SP]; Recherche opérationnelle [math.OC]

Ramzi Ben Mhenni, Sébastien Bourguignon, Jordan Ninin. Global optimization of L0-norm-based sparse approximation criteria with a branch-and-bound algorithm. SPARS, Signal Processing with Adaptive Sparse Structured Representations, 2019, Toulouse, France. ⟨hal-02583286⟩