83 search results - page 3 / 17 » Sigma-delta learning for super-resolution independent compon... |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
BMCV
2000
Springer
13 years 9 months ago
2000
Springer
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...