On the robustness of noise-blind low-rank recovery from rank-one measurements.
Felix KrahmerChristian KümmerleOleh MelnykPublished in: CoRR (2020)
Keyphrases
- low rank
- missing data
- singular values
- frobenius norm
- watermark extraction
- robust principal component analysis
- nuclear norm
- matrix factorization
- low rank matrix
- convex optimization
- matrix completion
- linear combination
- rank minimization
- low rank approximation
- kernel matrix
- singular value decomposition
- semi supervised
- matrix decomposition
- missing values
- trace norm
- affinity matrix
- image processing
- low rank matrices
- high dimensional
- high dimensional data
- incomplete data
- non rigid structure from motion
- minimization problems
- high order
- least squares
- rank constraint
- pattern recognition
- training data
- data matrix
- feature extraction