Nonsmooth nonnegative matrix factorization (nsNMF)

Abstract

We propose a novel nonnegative matrix factorization model that aims at finding localized, part-based, representations of nonnegative multivariate data items. Unlike the classical nonnegative matrix factorization (NMF) technique, this new model, denoted "nonsmooth nonnegative matrix factorization" (nsNMF), corresponds to the optimization of an unambiguous… (More)
DOI: 10.1109/TPAMI.2006.60

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@article{PascualMontano2006NonsmoothNM, title={Nonsmooth nonnegative matrix factorization (nsNMF)}, author={Alberto D. Pascual-Montano and Jos{\'e} Mar{\'i}a Carazo and Kieko Kochi and Dietrich Lehmann and Roberto D. Pascual-Marqui}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, year={2006}, volume={28}, pages={403-415} }