Robust feature selection via simultaneous sapped norm and sparse regularizer minimization.
Gongmin LanChenping HouFeiping NieTingjin LuoDongyun YiPublished in: Neurocomputing (2018)
Keyphrases
- feature selection
- norm minimization
- orthogonal matching pursuit
- sparse representation
- robust principal component analysis
- unsupervised feature selection
- sparse pca
- objective function
- regularization term
- mutual information
- low rank matrices
- feature space
- sparse coding
- convex optimization
- convex functions
- machine learning
- classification accuracy
- high dimension
- semi supervised
- group lasso
- knn
- image restoration
- text categorization
- low rank representation
- model selection
- web image annotation
- feature set