On Low-rank Trace Regression under General Sampling Distribution.
Nima HamidiMohsen BayatiPublished in: CoRR (2019)
Keyphrases
- low rank
- missing data
- singular value decomposition
- matrix factorization
- linear combination
- convex optimization
- rank minimization
- low rank approximation
- kernel matrix
- low rank matrix
- matrix completion
- regression model
- pattern recognition
- matrix decomposition
- random sampling
- high order
- high dimensional data
- semi supervised
- pairwise
- natural images
- higher order
- kernel matrices
- trace norm
- data sets
- regularized regression