Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers.
Hannah LawrenceJerry LiCameron MuscoChristopher MuscoPublished in: CoRR (2019)
Keyphrases
- low rank
- regularized regression
- low rank matrix
- rank minimization
- nuclear norm
- low rank matrices
- low rank subspace
- singular value decomposition
- convex optimization
- matrix decomposition
- missing data
- matrix completion
- matrix factorization
- low rank approximation
- kernel matrices
- linear combination
- sparsity constraints
- low rank representation
- kernel matrix
- robust principal component analysis
- high order
- norm minimization
- low rank and sparse
- semi supervised
- trace norm
- singular values
- tensor decomposition
- minimization problems
- factorization methods
- high dimensional data
- data matrix
- least squares
- sparse matrix
- frobenius norm
- sparse coding
- data sets
- binary matrices
- collaborative filtering