Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery.
Tomer PelegYonina C. EldarMichael EladPublished in: IEEE Trans. Signal Process. (2012)
Keyphrases
- signal recovery
- sparse representation
- statistical dependencies
- orthogonal matching pursuit
- dictionary learning
- compressed sensing
- variable length
- compressive sensing
- sparse coding
- latent variables
- image classification
- canonical correlation analysis
- wavelet coefficients
- face recognition
- random projections
- signal processing
- image patches
- image representation
- image reconstruction
- probabilistic model
- computer vision
- generative model
- model selection
- dimensionality reduction
- sparse approximation
- training data
- feature extraction