Approximate L0 constrained non-negative matrix and tensor factorization

Abstract

Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based representation. The NMF decomposition is not in general unique and a part based representation not guaranteed. However, imposing sparseness both improves the uniqueness of the… (More)
DOI: 10.1109/ISCAS.2008.4541671

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@inproceedings{Mrup2008ApproximateLC, title={Approximate L0 constrained non-negative matrix and tensor factorization}, author={Morten M\orup and Kristoffer Hougaard Madsen and Lars Kai Hansen}, booktitle={ISCAS}, year={2008} }