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» Linear State-Space Models for Blind Source Separation
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ISBI
2008
IEEE
14 years 8 months ago
Convex analysis and separation of composite signals in DCE-MRI
Dynamic functional imaging promises powerful tools for the visualization and elucidation of important diseasecausing biological processes, where the pixels often represent a compo...
Li Chen, Tsung-Han Chan, Peter L. Choyke, Chong-Yu...
IDA
2009
Springer
13 years 5 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
ICA
2004
Springer
14 years 1 months ago
3D Spatial Analysis of fMRI Data on a Word Perception Task
We discuss a 3D spatial analysis of fMRI data taken during a combined word perception and motor task. The event - based experiment was part of a study to investigate the network of...
Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar...
ICASSP
2011
IEEE
12 years 11 months ago
Space-time adaptive processing for range-folded spread-Doppler radar clutter mitigation
This paper concerns the detection of radar targets masked by Doppler-spread surface backscatter from points beyond the radar’s maximum unambiguous range. Current methods for mit...
William W. Lee, Jeffrey L. Krolik
NIPS
2003
13 years 9 months ago
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron
We describe a system that localizes a single dipole to reasonable accuracy from noisy magnetoencephalographic (MEG) measurements in real time. At its core is a multilayer perceptr...
Sung C. Jun, Barak A. Pearlmutter