Keyphrases
- low rank
- trace norm
- high order
- tensor decomposition
- frobenius norm
- missing data
- matrix factorization
- linear combination
- convex optimization
- matrix completion
- singular value decomposition
- regression model
- rank minimization
- kernel matrix
- low rank matrix
- high dimensional data
- model selection
- matrix decomposition
- semi supervised
- data matrix
- dimensionality reduction
- tensor factorization
- minimization problems
- singular values
- low rank matrices
- low rank approximation
- higher order
- multi task
- robust principal component analysis
- regularized regression
- kernel matrices
- collaborative filtering
- data sets