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» Document clustering using nonnegative matrix factorization
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IEEEIAS
2009
IEEE
14 years 3 months ago
Detecting Insider Attacks Using Non-negative Matrix Factorization
—It is a fact that vast majority of attention is given to protecting against external threats, which are considered more dangerous. However, some industrial surveys have indicate...
Jan Platos, Václav Snásel, Pavel Kr&...
ICASSP
2008
IEEE
14 years 3 months ago
Speech denoising using nonnegative matrix factorization with priors
We present a technique for denoising speech using nonnegative matrix factorization (NMF) in combination with statistical speech and noise models. We compare our new technique to s...
Kevin W. Wilson, Bhiksha Raj, Paris Smaragdis, Aja...
ICDM
2009
IEEE
126views Data Mining» more  ICDM 2009»
14 years 3 months ago
Convex Non-negative Matrix Factorization in the Wild
Abstract—Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative...
Christian Thurau, Kristian Kersting, Christian Bau...
ICASSP
2011
IEEE
13 years 11 days ago
Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
Meng Sun, Hugo Van hamme
ICPR
2002
IEEE
14 years 1 months ago
Determining a Suitable Metric when Using Non-Negative Matrix Factorization
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or partbased representation of o...
David Guillamet, Jordi Vitrià