Keyphrases
- low rank
- high order
- trace norm
- frobenius norm
- tensor decomposition
- missing data
- linear combination
- matrix factorization
- convex optimization
- singular value decomposition
- low rank matrix
- matrix completion
- high dimensional data
- rank minimization
- kernel matrix
- higher order
- semi supervised
- tensor factorization
- dimensionality reduction
- matrix decomposition
- low rank matrices
- singular values
- robust principal component analysis
- multi task
- minimization problems
- least squares
- pairwise
- data matrix
- negative matrix factorization
- data sets
- low dimensional
- feature extraction