Low-rank Matrix Completion in a General Non-orthogonal Basis.
Abiy TasissaRongjie LaiPublished in: CoRR (2018)
Keyphrases
- matrix completion
- low rank
- linear combination
- rank minimization
- convex optimization
- missing data
- matrix factorization
- orthogonal basis
- low rank matrix approximation
- high dimensional data
- singular value decomposition
- semi supervised
- low rank matrices
- low rank matrix
- kernel matrix
- trace norm
- singular values
- high order
- norm minimization
- collaborative filtering
- multi task
- low rank approximation
- rank aggregation
- minimization problems
- incomplete data
- machine learning
- missing values
- nuclear norm
- feature space
- pattern recognition
- face recognition