A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning

Pierre Ablin (1) , Dylan Fagot (2) , Herwig Wendt (3) , Alexandre Gramfort (1) , Cédric Févotte (4)

1 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
2 IRIT-SC - Signal et Communications
3 IRIT-MINDS - CoMputational imagINg anD viSion
4 LAGRANGE - Joseph Louis LAGRANGE

Mots clés: Transform learning; Non-convex optimization; Nonnegative matrix factorization (NMF); Manifolds; Source separation; Audio signal processing

Domaines: Traitement du signal et de l'image [eess.SP]

Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte. A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning. IEEE-ICASSP 2019 - International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. ⟨hal-02346829v1⟩