Low Rank Multi-Dictionary Selection at Scale.
Boya MaMaxwell McNeilAbram MagnerPetko BogdanovPublished in: KDD (2024)
Keyphrases
- low rank
- low rank matrix recovery
- linear combination
- convex optimization
- missing data
- low rank matrix
- matrix decomposition
- high dimensional data
- matrix factorization
- matrix completion
- singular value decomposition
- rank minimization
- semi supervised
- high order
- kernel matrix
- trace norm
- singular values
- data matrix
- robust principal component analysis
- minimization problems
- sparse representation
- low rank matrices
- low rank and sparse
- nonnegative matrix factorization
- data sets
- nearest neighbor
- knn
- non rigid structure from motion
- pattern recognition