Nonconvex sparse regularization for deep neural networks and its optimality.
Ilsang OhnYongdai KimPublished in: CoRR (2020)
Keyphrases
- neural network
- sparsity regularization
- low rank matrices
- mixed norm
- rank minimization
- structured sparsity
- elastic net
- robust principal component analysis
- image restoration and reconstruction
- fuzzy logic
- back propagation
- optimization problems
- convex optimization
- objective function
- optimal solution
- neural network model
- sparse approximation
- artificial neural networks
- regularization term
- pattern recognition
- sparse representation
- neural nets
- multi layer
- sparse data
- compressive sensing
- regularization method
- group lasso
- regularization parameter
- regularization methods
- genetic algorithm
- high dimensional
- low rank
- recurrent neural networks
- nonlinear programming
- sparse coding
- kernel matrices
- cost function
- singular value decomposition
- sparsity inducing
- global optimization
- prior information
- multilayer perceptron
- norm minimization
- canonical correlation analysis
- global exponential stability
- deep learning