Regularized Structured Sparsity Convolutional Neural Networks.
Kevin BuiFredrick ParkShuai ZhangYingyong QiJack XinPublished in: CoRR (2019)
Keyphrases
- structured sparsity
- convolutional neural networks
- sparsity inducing
- group sparsity
- regularization methods
- statistical learning
- compressive sensing
- learning problems
- group lasso
- variable selection
- convex optimization problems
- sparse regression
- feature selection
- regularization method
- multiresolution
- sparse learning
- edge preserving
- convex optimization
- greedy algorithm
- semi supervised learning
- least squares
- cost function
- feature extraction