On the equivalence between low rank matrix completion and tensor rank.
Harm DerksenPublished in: CoRR (2014)
Keyphrases
- matrix completion
- frobenius norm
- low rank
- trace norm
- missing data
- convex optimization
- high order
- low rank matrix
- linear combination
- singular value decomposition
- low rank matrices
- high dimensional data
- matrix factorization
- semi supervised
- nuclear norm
- singular values
- kernel matrix
- rank minimization
- tensor decomposition
- rank aggregation
- low rank approximation
- norm minimization
- minimization problems
- data matrix
- collaborative filtering
- learning algorithm
- active learning
- pairwise
- pattern recognition