Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression.
Shaowu ChenJiahao ZhouWeize SunLei HuangPublished in: CoRR (2021)
Keyphrases
- convolutional neural networks
- matrix decomposition
- low rank
- nonnegative matrix factorization
- convolutional network
- singular value decomposition
- latent structure
- compression ratio
- matrix factorization
- low rank matrix
- image compression
- singular values
- negative matrix factorization
- data summarization
- multidimensional scaling
- convex optimization
- support vector
- data matrix
- low rank approximation
- missing data
- high dimensional data
- semi supervised
- active learning
- feature space