2017
Primal-dual algorithms for non-negative matrix factorization with the Kullback-Leibler divergence
ICASSP 2017accepted
Non-negative matrix factorization (NMF) approximates a given matrix as a product of two non-negative matrix factors. Multiplicative algorithms deliver reliable results, but they show slow convergence for high-dimensional data and may be stuck away from local minima. Gradient descent methods have bet…