A new greedy sparse recovery algorithm for fast solving sparse representation.
Zied Bannour LahawHassene SeddikPublished in: Vis. Comput. (2022)
Keyphrases
- sparse representation
- recovery algorithm
- orthogonal matching pursuit
- dictionary learning
- sparse coding
- compressive sensing
- compressed sensing
- image classification
- random projections
- face recognition
- sparse approximations
- signal processing
- image patches
- image representation
- joint optimization
- regularized least squares
- sparsity constraints
- sparse coefficients
- high dimensional data
- signal recovery
- test images
- sparse reconstruction
- sparse learning
- high dimensional
- object recognition
- least squares
- sparse codes
- feature selection
- dimensionality reduction
- negative matrix factorization
- computer vision