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» Bayesian Non-negative Matrix Factorization
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ICPR
2002
IEEE
14 years 6 months ago
Analyzing Non-Negative Matrix Factorization for Image Classification
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...
Bernt Schiele, David Guillamet, Jordi Vitrià...
JMLR
2006
175views more  JMLR 2006»
13 years 5 months ago
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
We exploit the biconvex nature of the Euclidean non-negative matrix factorization (NMF) optimization problem to derive optimization schemes based on sequential quadratic and secon...
Matthias Heiler, Christoph Schnörr
NIPS
2003
13 years 6 months ago
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
We interpret non-negative matrix factorization geometrically, as the problem of finding a simplicial cone which contains a cloud of data points and which is contained in the posi...
David L. Donoho, Victoria Stodden
ICIP
2007
IEEE
14 years 7 months ago
Video Content Representation by Incremental Non-Negative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is a powerful decomposition tool which has been used in several content representation applications recently. However, there are some diffic...
Bilge Günsel, Serhat Selcuk Bucak
ICCV
2005
IEEE
14 years 7 months ago
Sparse Image Coding Using a 3D Non-Negative Tensor Factorization
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...
Tamir Hazan, Simon Polak, Amnon Shashua