Leveraging Joint-Diagonalization in Transform-Learning NMF

Sixin Zhang, Emmanuel Soubies, Cédric Févotte

Non-negative matrix factorization with transform learning (TL-NMF) is a recent idea that aims at learning data representations suited to NMF. In this work, we relate TL-NMF to the…