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An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models

In this paper we formulate the nonnegative matrix factorisation (NMF) problem as a maximum likelihood estimation problem for hidden Markov models and propose online expectation-maximisation (EM) algorithms to estimate the NMF and the other unknown static parameters. We also propose a sequential Monte Carlo approximation of our online EM algorithm. We show the performance of the proposed method with two numerical examples.

preprint2014arXivOpen access
Sinan YildirimA. Taylan CemgilSumeetpal S. Singh
ComputationMachine Learning
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Sinan YildirimA. Taylan CemgilSumeetpal S. Singh

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