Approximate Sparse Decomposition Based on Smoothed L0-Norm
Hamed FirouziMasoud FarivarMassoud Babaie-ZadehChristian JuttenPublished in: CoRR (2008)
Keyphrases
- low rank matrices
- mixed norm
- tensor decomposition
- sparse representation
- sparse data
- regularized least squares
- high dimensional
- low rank approximation
- compressive sensing
- group lasso
- decomposition algorithm
- robust principal component analysis
- compressive sampling
- compressed sensing
- objective function
- neural network
- decomposition methods
- image decomposition
- dictionary learning
- variable selection
- least squares
- norm regularization
- signal recovery
- multiresolution
- optimal solution
- bayesian networks