K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation.
Michal AharonMichael EladAlfred M. BrucksteinPublished in: IEEE Trans. Signal Process. (2006)
Keyphrases
- sparse representation
- reconstruction error
- dictionary learning
- negative matrix factorization
- regularized least squares
- sparse coefficients
- sparse coding
- sparse reconstruction
- image classification
- piecewise smooth
- test images
- sparse approximations
- image patches
- compressive sensing
- norm minimization
- face recognition
- learning algorithm
- sparsity constraints
- random projections
- compressed sensing
- joint optimization
- signal processing
- sparse signal representation
- high dimensional data
- image reconstruction
- image restoration
- dimensionality reduction
- higher order
- nearest neighbor
- single image super resolution
- similarity measure
- data mining