108 search results - page 4 / 22 » Dependent Component Analysis: A Hyperspectral Unmixing Algor... |
94
Voted
AIPR
2002
IEEE
15 years 2 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
ESANN
2006
14 years 11 months ago
2006
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
ICA
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...
BMCBI
2008
14 years 9 months ago
2008
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
70
Voted
ASPDAC
2009
ACM
15 years 4 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...