Revisiting Spatial Invariance with Low-Rank Local Connectivity.
Gamaleldin F. ElsayedPrajit RamachandranJonathon ShlensSimon KornblithPublished in: CoRR (2020)
Keyphrases
- low rank
- convex optimization
- linear combination
- missing data
- rank minimization
- matrix factorization
- singular value decomposition
- matrix completion
- low rank matrix
- matrix decomposition
- kernel matrix
- semi supervised
- high dimensional data
- high order
- trace norm
- data matrix
- non rigid structure from motion
- neural network
- minimization problems
- data sets
- feature space
- machine learning
- low rank representation