16 search results - page 3 / 4 » Convex non-negative matrix factorization for massive dataset... |
BMCBI
2006
13 years 5 months ago
2006
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
ICDM
2009
IEEE
14 years 3 days ago
2009
IEEE
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...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
There is an exploding amount of user-generated content on the Web due to the emergence of "Web 2.0" services, such as Blogger, MySpace, Flickr, and del.icio.us. The part...
ISCAS
2008
IEEE
13 years 12 months ago
2008
IEEE
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
CIKM
2010
Springer
13 years 4 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...