Dual-graph regularized subspace learning based feature selection.
Chao ShengPeng SongWeijian ZhangDongliang ChenPublished in: Digit. Signal Process. (2021)
Keyphrases
- subspace learning
- dimensionality reduction
- feature selection
- graph embedding
- manifold learning
- data representation
- subspace learning algorithm
- principal component analysis
- low dimensional
- sparse representation
- sparse coding
- maximum margin criterion
- face recognition
- feature space
- pattern recognition
- high dimensionality
- high dimensional data
- learning algorithm
- feature extraction
- semi supervised
- singular value decomposition
- text classification
- machine learning
- metric learning
- high dimensional
- data points
- dimension reduction
- discriminant analysis
- prior knowledge
- small number
- nearest neighbor
- multiscale
- expectation maximization
- image processing
- feature set