High-Dimensional Confidence Regions in Sparse MRI.
Frederik HoppeFelix KrahmerClaudio Mayrink VerdunMarion I. MenzelHolger RauhutPublished in: CoRR (2024)
Keyphrases
- high dimensional
- parameter space
- sparse data
- low dimensional
- magnetic resonance imaging
- high dimension
- dimensionality reduction
- additive models
- high dimensional data
- data points
- feature space
- magnetic resonance images
- nearest neighbor
- similarity search
- high dimensionality
- sparse coding
- confidence level
- medical images
- input space
- high resolution
- intensity distribution
- noisy data
- input image
- variable selection
- multi dimensional
- metric space
- mri data
- medical imaging
- image regions
- sparse representation
- kernel function