Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality.
Ilsang OhnYongdai KimPublished in: Neural Comput. (2022)
Keyphrases
- neural network
- mixed norm
- low rank matrices
- sparsity regularization
- structured sparsity
- rank minimization
- image restoration and reconstruction
- elastic net
- robust principal component analysis
- objective function
- pattern recognition
- artificial neural networks
- sparse data
- sparse representation
- sparse approximation
- group lasso
- neural network model
- feed forward
- neural nets
- low rank
- regularization parameter
- global optimization
- back propagation
- kernel matrices
- optimization problems
- optimal solution
- convex optimization
- signal recovery
- genetic algorithm
- compressive sensing
- regularization term
- high dimensional
- low rank matrix
- regularized least squares
- nonlinear programming
- self organizing maps
- quadratic optimization problems