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BMCBI
2006
13 years 5 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Nonnegative Tucker decomposition (NTD) is a recent multiway extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are incorporated into Tucker model...