Faster-than-fast NMF using random projections and Nesterov iterations

Farouk Yahaya; Matthieu Puigt; Gilles Delmaire; Gilles Roussel

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arXiv · 1812.04315

Faster-than-fast NMF using random projections and Nesterov iterations

Farouk Yahaya·Matthieu Puigt·Gilles Delmaire·Gilles Roussel

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Abstract

Random projections have been recently implemented in Nonnegative Matrix Factorization (NMF) to speed-up the NMF computations, with a negligible loss of performance. In this paper, we investigate the effects of such projections when the NMF technique uses the fast Nesterov gradient descent (NeNMF). We experimentally show the randomized subspace iteration to significantly speed-up NeNMF.

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Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. 2018-12-11. Faster-than-fast NMF using random projections and Nesterov iterations. https://arxiv.org/abs/1812.04315

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