Block-sparsity regularized maximum correntropy criterion for structured-sparse system identification.
Tian TianFei-Yun WuKunde YangPublished in: J. Frankl. Inst. (2020)
Keyphrases
- sparsity constraints
- sparse representation
- sparsity inducing
- sparse reconstruction
- regularized least squares
- high dimensional
- mixed norm
- structured sparsity
- sparse coding
- dictionary learning
- negative matrix factorization
- coefficient matrix
- orthogonal matching pursuit
- sparse approximation
- total least squares
- compressive sensing
- input output
- half quadratic
- nonnegative matrix factorization
- sparse learning
- regularized regression
- sparse regression
- variable selection
- low rank
- basis pursuit
- image classification
- group lasso
- norm minimization
- compressed sensing
- image blocks
- tensor factorization
- denoising
- quadratic optimization
- elastic net
- norm regularization
- absolute difference
- sparse linear
- sparse data
- sparse approximations
- high dimensional data
- image representation
- signal processing
- least squares