Keyphrases
- covariance matrix
- low rank
- trace norm
- eigendecomposition
- missing data
- covariance matrices
- linear combination
- matrix factorization
- singular value decomposition
- convex optimization
- low rank matrix
- principal component analysis
- maximum likelihood
- semi supervised
- matrix completion
- rank minimization
- sample size
- kernel matrix
- regularized regression
- objective function
- high order
- high dimensional data
- maximum likelihood estimation
- least squares
- singular values
- norm minimization
- em algorithm
- small number