Maestro: Uncovering Low-Rank Structures via Trainable Decomposition.
Samuel HorváthStefanos LaskaridisShashank RajputHongyi WangPublished in: CoRR (2023)
Keyphrases
- low rank
- matrix factorization
- tensor decomposition
- missing data
- convex optimization
- linear combination
- rank minimization
- singular value decomposition
- matrix completion
- low rank matrix
- matrix decomposition
- semi supervised
- high dimensional data
- high order
- trace norm
- kernel matrix
- non rigid structure from motion
- low rank matrices
- data sets
- robust principal component analysis
- singular values
- minimization problems
- data matrix
- pattern recognition