245 search results - page 9 / 49 » Learned parametric mixture based ICA algorithm |
IBPRIA
2003
Springer
14 years 2 months ago
2003
Springer
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
PAMI
2008
13 years 8 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
ICA
2007
Springer
14 years 2 months ago
2007
Springer
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
ICA
2012
Springer
12 years 4 months ago
2012
Springer
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we propose to use the scaling ambiguity of convolutive blind source separation for shortening the unmixing filters. An often used approach for separating convoluti...