Adaptive Low-Rank Factorization to regularize shallow and deep neural networks.
Mohammad Mahdi BejaniMehdi GhateePublished in: CoRR (2020)
Keyphrases
- low rank
- neural network
- matrix factorization
- singular value decomposition
- missing data
- convex optimization
- linear combination
- low rank matrix
- matrix completion
- semi supervised
- non rigid structure from motion
- high dimensional data
- pattern recognition
- rank minimization
- factorization methods
- matrix decomposition
- high order
- minimization problems
- low rank matrices
- robust principal component analysis
- collaborative filtering
- image processing
- trace norm
- data matrix
- nearest neighbor
- similarity measure