Low rank matrix completion via random sampling.
Hakan GuldasAli Taylan CemgilPublished in: SIU (2013)
Keyphrases
- random sampling
- matrix completion
- low rank
- active learning
- matrix factorization
- convex optimization
- linear combination
- missing data
- singular value decomposition
- rank minimization
- low rank matrix
- low rank matrices
- kernel matrix
- sample size
- semi supervised
- high order
- norm minimization
- singular values
- high dimensional data
- trace norm
- random projections
- least squares
- markov random field
- nearest neighbor
- data analysis
- nuclear norm
- data mining