Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption.
Cencheng ShenLi ChenYuexiao DongCarey E. PriebePublished in: IEEE Trans. Inf. Theory (2020)
Keyphrases
- sparse representation
- dictionary learning
- image classification
- subspace learning
- high dimensional data
- sparse coding
- feature extraction
- orthogonal matching pursuit
- dimensionality reduction
- joint optimization
- face recognition
- norm minimization
- feature selection
- reconstruction error
- signal processing
- feature space
- compressive sensing
- pattern recognition
- random projections
- compressed sensing
- image representation
- decision trees
- regularized least squares
- basis vectors
- sparse approximations
- low dimensional
- sparse codes
- data sets
- image patches
- test images
- high dimensional
- sparse reconstruction
- dimension reduction
- linear subspace
- linear combination
- principal component analysis
- feature vectors
- training set
- data mining