Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries.
Penghang YinErnie EsserJack XinPublished in: Commun. Inf. Syst. (2014)
Keyphrases
- sparse representation
- dictionary learning
- sparse coding
- face recognition
- compressed sensing
- signal processing
- image classification
- image patches
- joint optimization
- reconstruction error
- high dimensional data
- negative matrix factorization
- sparse approximations
- regularized least squares
- random projections
- learned dictionary
- dimensionality reduction
- compressive sensing
- image representation
- norm minimization
- sparse reconstruction
- sparse codes
- test images
- semi supervised
- knn
- feature space
- object recognition
- pattern recognition
- training data
- sparsity constraints
- computer vision
- data mining