An Efficient Approach for Computing Optimal Low-Rank Regularized Inverse Matrices.
Julianne ChungMatthias ChungPublished in: CoRR (2014)
Keyphrases
- low rank
- matrix completion
- low rank matrix
- singular value decomposition
- trace norm
- ell norm
- data matrix
- matrix decomposition
- matrix factorization
- singular values
- linear combination
- missing data
- frobenius norm
- convex optimization
- low rank matrices
- eigendecomposition
- low rank approximation
- rank minimization
- high dimensional data
- low rank and sparse
- kernel matrix
- norm minimization
- affinity matrix
- semi supervised
- high order
- sparsity constraints
- least squares
- image processing
- collaborative filtering
- nuclear norm
- binary matrices
- small number
- sparse matrix