129 search results - page 9 / 26 » EEG classification using generative independent component an... |
ICA
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
JASIS
2006
13 years 7 months ago
2006
The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix which can be analyzed in various ways. Using principal compon...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
NIPS
2003
13 years 8 months ago
2003
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...