Dynamic matrix recovery from incomplete observations under an exact low-rank constraint.
Liangbei XuMark A. DavenportPublished in: CoRR (2016)
Keyphrases
- low rank
- missing data
- low rank subspace
- matrix decomposition
- matrix factorization
- linear combination
- rank minimization
- matrix completion
- singular value decomposition
- trace norm
- convex optimization
- low rank matrix
- semi supervised
- kernel matrix
- data matrix
- missing values
- high dimensional data
- singular values
- low rank matrices
- sparsity constraints
- factorization methods
- frobenius norm
- kernel matrices
- minimization problems
- low rank approximation
- high order
- incomplete data
- robust principal component analysis
- affinity matrix
- nuclear norm
- pattern recognition
- machine learning
- least squares
- input image
- low rank and sparse