New estimates for the recursive low-rank truncation of block-structured matrices.
Wolfgang HackbuschPublished in: Numerische Mathematik (2016)
Keyphrases
- low rank
- matrix completion
- low rank matrix
- singular value decomposition
- data matrix
- frobenius norm
- matrix decomposition
- singular values
- low rank approximation
- eigendecomposition
- low rank matrices
- linear combination
- missing data
- matrix factorization
- low rank and sparse
- convex optimization
- rank minimization
- affinity matrix
- high dimensional data
- semi supervised
- kernel matrix
- trace norm
- high order
- positive semidefinite
- minimization problems
- robust principal component analysis
- rows and columns
- principal component analysis
- least squares
- norm minimization
- low dimensional
- dimensionality reduction
- nearest neighbor
- pattern recognition
- image processing
- data mining