Spectrum separation of Magnetic Resonance Spectroscopy based on sparse representation.
Yu GuoSu RuanGilles MillonJean-Marc ConstansPublished in: ICASSP (2009)
Keyphrases
- sparse representation
- magnetic resonance spectroscopy
- dictionary learning
- prostate cancer
- sparse coding
- image classification
- face recognition
- joint optimization
- image patches
- signal processing
- random projections
- compressive sensing
- negative matrix factorization
- compressed sensing
- dimensionality reduction
- piecewise smooth
- test images
- image representation
- sparse approximations
- high dimensional data
- regularized least squares
- norm minimization
- sparse reconstruction
- neural network
- feature vectors
- clinical data
- computer aided