Low Rank Structure of Learned Representations.
Amartya SanyalVarun KanadePhilip H. S. TorrPublished in: CoRR (2018)
Keyphrases
- low rank
- missing data
- linear combination
- convex optimization
- matrix factorization
- kernel matrix
- low rank matrix
- rank minimization
- singular value decomposition
- trace norm
- high dimensional data
- matrix completion
- matrix decomposition
- singular values
- high order
- non rigid structure from motion
- machine learning
- low rank representation
- image restoration
- semi supervised
- image sequences