Sharp Oracle Inequalities in Low Rank Estimation.
Vladimir KoltchinskiiPublished in: Empirical Inference (2013)
Keyphrases
- low rank
- linear combination
- missing data
- matrix factorization
- convex optimization
- rank minimization
- singular value decomposition
- matrix completion
- low rank matrix
- regularized regression
- high order
- matrix decomposition
- semi supervised
- singular values
- minimization problems
- trace norm
- low rank representation
- kernel matrix
- data matrix
- high dimensional data
- non rigid structure from motion
- database
- interior point methods
- small number
- face recognition
- computer vision
- low rank and sparse
- robust principal component analysis
- learning algorithm