4129 search results - page 106 / 826 » High performance model based image reconstruction |
124
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ISBI
2007
IEEE
15 years 10 months ago
2007
IEEE
Cardiac computational models of electrical conduction, mechanical activation, hemodynamics and metabolism require detailed information about the structural arrangement of function...
150
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
128
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ISBI
2006
IEEE
16 years 5 months ago
2006
IEEE
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
120
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IPMI
2001
Springer
16 years 5 months ago
2001
Springer
Event-related functional magnetic resonance imaging (fMRI) is considered as an estimation and reconstruction problem. A linear model of the fMRI system based on the Fourier sampler...
142
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...