Robust Kernel Methods for Sparse MR Image Reconstruction.
Joshua TrzaskoArmando ManducaEric BorischPublished in: MICCAI (1) (2007)
Keyphrases
- image reconstruction
- kernel methods
- compressed sensing
- kernel matrices
- super resolution
- signal reconstruction
- support vector
- kernel function
- random projections
- multiple kernel
- machine learning
- emission computed tomography
- cardiac imaging
- feature space
- support vector machine
- emission tomography
- kernel matrix
- reconstruction method
- reproducing kernel hilbert space
- multiple kernel learning
- compressive sensing
- sparse representation
- image registration
- data sets
- data mining
- high dimensional
- image data
- kernel pca
- motion estimation
- magnetic resonance
- scale space