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» Bayesian blind source separation for brain imaging
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TSP
2008
116views more  TSP 2008»
13 years 7 months ago
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification
This correspondence presents new approaches for optimizing kurtosis-based separation criteria in the case of long mixture recordings. Our methods are based on a multivariate polyno...
Johan Thomas, Yannick Deville, Shahram Hosseini
CVPR
2006
IEEE
13 years 11 months ago
Blind Haze Separation
Outdoor imaging is plagued by poor visibility conditions due to atmospheric scattering, particularly in haze. A major problem is spatially-varying reduction of contrast by stray r...
Sarit Shwartz, Einav Namer, Yoav Y. Schechner
IDA
2009
Springer
14 years 4 days ago
Image Source Separation Using Color Channel Dependencies
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
Koray Kayabol, Ercan E. Kuruoglu, Bülent Sank...
ISBI
2008
IEEE
14 years 8 months ago
FMRI brain activity and underlying hemodynamics estimation in a new Bayesian framework
The emerging functional MRI (Magnetic Resonance Imaging), fMRI, imaging modality was developed to obtain non-invasive information regarding the neural processes behind pre-determi...
David M. Afonso, João M. Sanches, Martin H....
NIPS
2003
13 years 9 months ago
Reconstructing MEG Sources with Unknown Correlations
Existing source location and recovery algorithms used in magnetoencephalographic imaging generally assume that the source activity at different brain locations is independent or t...
Maneesh Sahani, Srikantan S. Nagarajan