Keyphrases
- low rank
- trace norm
- high order
- tensor decomposition
- frobenius norm
- matrix factorization
- matrix completion
- convex optimization
- singular value decomposition
- linear combination
- low rank matrix
- missing data
- rank minimization
- high dimensional data
- semi supervised
- kernel matrix
- matrix decomposition
- higher order
- dimensionality reduction
- low rank matrices
- worst case
- robust principal component analysis
- minimization problems
- singular values
- multi task
- markov random field
- pairwise
- tensor factorization
- low rank approximation
- data matrix
- data representation
- collaborative filtering