5128 search results - page 58 / 1026 » Discrete Component Analysis |
BMCBI
2006
13 years 10 months ago
2006
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
ASPDAC
2009
ACM
14 years 5 months ago
2009
ACM
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
DATE
2008
IEEE
14 years 5 months ago
2008
IEEE
Failure Mode and Effects Analysis (FMEA) is a wellknown technique widely used for safety assessment in the area of safety-critical systems. However, FMEA is traditionally done man...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
JMLR
2012
12 years 1 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...