477 search results - page 21 / 96 » Algorithms for Non-negative Matrix Factorization |
GRC
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a problem of factor analysis of three-way binary data, i.e. data described by a 3-dimensional binary matrix I, describing a relationship between objects, attributes, an...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...
BMCBI
2010
13 years 7 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particul...
SDM
2010
SIAM
13 years 5 months ago
2010
SIAM
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...