561 search results - page 20 / 113 » Algorithms and applications for approximate nonnegative matr... |
BMCBI
2006
13 years 7 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...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
AUTOMATICA
2008
13 years 7 months ago
2008
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
SLSFS
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The multiplicative algorithms are well-known for nonnegative matrix and tensor factorizations. The ALS algorithm for canonical decomposition (CP) has been proved as a “workhorse...