Algorithmic linear dimension reduction in the l_1 norm for sparse vectors
Anna C. GilbertMartin J. StraussJoel A. TroppRoman VershyninPublished in: CoRR (2006)
Keyphrases
- low rank matrices
- regularized least squares
- robust principal component analysis
- mixed norm
- feature vectors
- group lasso
- sparse representation
- sparse data
- compressive sensing
- signal recovery
- random projections
- variable selection
- vector space
- principal components
- norm regularization
- structured sparsity
- linear combination
- data sets
- hilbert space
- elastic net
- sparse learning
- multiscale
- feature extraction