Low-Rank Winograd Transformation for 3D Convolutional Neural Networks.
Ziran QinMingbao LinWeiyao LinPublished in: CoRR (2023)
Keyphrases
- low rank
- convolutional neural networks
- linear combination
- missing data
- convex optimization
- matrix factorization
- singular value decomposition
- rank minimization
- matrix completion
- low rank matrix
- high dimensional data
- convolutional network
- semi supervised
- kernel matrix
- high order
- data matrix
- matrix decomposition
- robust principal component analysis
- minimization problems
- trace norm
- low rank matrices
- non rigid structure from motion
- singular values
- collaborative filtering
- binary matrix
- data sets
- low rank representation
- nonnegative matrix factorization
- nearest neighbor
- active learning