Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection.
Alice CortinovisDaniel KressnerPublished in: SIAM J. Matrix Anal. Appl. (2020)
Keyphrases
- frobenius norm
- low rank approximation
- low rank
- singular value decomposition
- reconstruction error
- spectral clustering
- subspace learning
- kernel matrix
- iterative algorithms
- adjacency matrix
- latent semantic indexing
- data dependent
- missing data
- nonnegative matrix factorization
- linear combination
- matrix completion
- least squares
- singular values
- eigendecomposition
- machine learning
- high dimensional data
- matrix factorization
- convex optimization
- graph matching
- high order