Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization.
Maboud Farzaneh KalooraziJie ChenPublished in: ICASSP (2020)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank
- low rank matrix approximation
- measurement matrix
- singular values
- kernel matrix
- latent semantic indexing
- linear combination
- matrix factorization
- least squares
- missing data
- frobenius norm
- matrix completion
- reconstruction error
- subspace learning
- data matrix
- spectral clustering
- low rank matrices
- semi supervised
- dimensionality reduction
- convex optimization
- principal component analysis
- high dimensional data
- adjacency matrix
- factorization method
- low rank matrix
- high order