Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection.
Keding ChenYong PengFeiping NieWanzeng KongPublished in: J. Classif. (2024)
Keyphrases
- feature selection
- unsupervised learning
- orthogonal matching pursuit
- dimensionality reduction
- unsupervised feature selection
- feature extraction
- discriminative features
- feature space
- high dimensional
- semi supervised
- sparse pca
- discriminative subspace
- sparse coding
- regularized regression
- high dimension
- sparse representation
- low rank representation
- high dimensional data
- low dimensional
- text categorization
- subspace learning
- pointwise mutual information
- feature selection algorithms
- principal component analysis
- mutual information
- web image annotation
- basis vectors
- dimension reduction
- random projections
- feature subspace
- machine learning
- text classification
- feature set
- support vector
- multi label
- high dimensionality
- multi class
- supervised learning
- feature selection and classification
- semi supervised learning
- linear subspace
- compressed sensing
- discriminative information
- image classification
- informative features
- feature subset
- knn
- model selection
- linear discriminant analysis
- elastic net
- margin maximization
- subspace clustering
- classification accuracy
- active learning
- learning algorithm
- data sets