From low-rank retractions to dynamical low-rank approximation and back.
Axel SéguinGianluca CerutiDaniel KressnerPublished in: CoRR (2023)
Keyphrases
- low rank
- low rank approximation
- low rank matrix approximation
- singular value decomposition
- matrix completion
- convex optimization
- kernel matrix
- matrix factorization
- missing data
- linear combination
- low rank matrix
- matrix decomposition
- semi supervised
- high dimensional data
- high order
- low rank matrices
- rank minimization
- minimization problems
- eigendecomposition
- collaborative filtering
- data sets
- pattern recognition
- data representation
- higher order
- knn
- image processing