Subspace Sparse Discriminative Feature Selection.
Feiping NieZheng WangLai TianRong WangXuelong LiPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- feature selection
- feature extraction
- orthogonal matching pursuit
- feature space
- discriminative features
- dimensionality reduction
- high dimensional
- sparse pca
- regularized regression
- high dimension
- feature set
- mutual information
- classification accuracy
- feature subspace
- informative features
- principal component analysis
- sparse representation
- feature selection algorithms
- low dimensional
- text classification
- sparse coding
- lower dimensional
- basis vectors
- discriminative power
- linear subspace
- subspace learning
- web image annotation
- high dimensionality
- text categorization
- low rank representation
- discriminative subspace
- machine learning
- class separability
- unsupervised learning
- canonical correlations
- random projections
- sparse codes
- high dimensional data
- locality preserving
- discriminative information
- subspace clustering
- feature subset
- feature vectors
- dimension reduction
- multi class
- multi task
- compressed sensing
- feature ranking
- selected features
- model selection
- image representation
- support vector machine
- face recognition
- support vector
- rank minimization
- elastic net
- low rank
- data points