Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements.
Hanchao QiShannon M. HughesPublished in: ICASSP (2011)
Keyphrases
- signal recovery
- compressive sensing
- orthogonal matching pursuit
- random projections
- sparse representation
- signal reconstruction
- compressed sensing
- signal processing
- machine learning
- multiscale
- dimensionality reduction
- image representation
- sparse coding
- kernel function
- natural images
- motion estimation
- data points
- feature vectors
- face recognition
- image segmentation