Improving Robustness for Anisotropic Sparse Recovery using Matrix Extensions.
Carsten HerrmannYun LuChristian ScheunertPeter JungPublished in: WSA (2018)
Keyphrases
- coefficient matrix
- sparse matrix
- rank minimization
- sparse representation
- neural network
- computational efficiency
- eigenvalue decomposition
- sparse data
- sparsity constraints
- low rank matrix
- matrix completion
- matrix representation
- structure tensor
- singular value decomposition
- low rank matrices
- high dimensional
- robust principal component analysis
- lie group
- recovery algorithm
- linear algebra
- low rank
- high dimensional data
- face recognition