Refinement of Low Rank Approximation of a Matrix at Sub-linear Cost.
Victor Y. PanQi LuanPublished in: CoRR (2019)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- low rank matrix
- subspace learning
- low rank matrices
- adjacency matrix
- spectral clustering
- kernel matrix
- iterative algorithms
- reconstruction error
- nonnegative matrix factorization
- matrix completion
- data dependent
- singular values
- latent semantic indexing
- minimum cost
- pairwise
- vector space
- missing data
- principal component analysis
- least squares
- semi supervised
- active learning