Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices.
Yuxin ChenChen ChengJianqing FanPublished in: CoRR (2018)
Keyphrases
- low rank matrices
- singular value decomposition
- covariance matrix
- low rank
- least squares
- affinity matrix
- linear combination
- principal component analysis
- original data
- singular values
- matrix completion
- missing data
- eigendecomposition
- low rank matrix
- matrix factorization
- data sets
- mutual information
- measurement matrix
- low rank matrix approximation