Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks.
Chong LiC.-J. Richard ShiPublished in: ECCV (10) (2018)
Keyphrases
- constrained optimization
- low rank approximation
- neural network
- singular value decomposition
- subspace learning
- spectral clustering
- objective function
- pattern recognition
- low rank
- kernel matrix
- artificial neural networks
- back propagation
- data dependent
- iterative algorithms
- adjacency matrix
- latent semantic indexing
- dimensionality reduction
- genetic algorithm
- training process