Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization.
Wen-Bin WuSibao ChenChris DingBin LuoPublished in: Cogn. Comput. (2024)
Keyphrases
- feature selection
- neural network
- high dimension
- sparse pca
- sparsity regularization
- web image annotation
- mixed norm
- structured sparsity
- elastic net
- norm regularization
- highly non linear
- pattern recognition
- feature space
- high dimensional
- text categorization
- mutual information
- regularization methods
- graph laplacian
- multi class
- feature selection algorithms
- image processing
- sparse approximation
- text classification
- artificial neural networks
- rank minimization
- small sample
- back propagation
- regularization term
- regularization parameter
- classification accuracy
- sparse coding
- unsupervised learning
- group lasso
- multi task
- unsupervised feature selection
- variable selection
- feature subset
- neural network model
- fuzzy logic
- support vector machine
- genetic algorithm
- sparse representation
- feature set
- convolution kernel