Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction.
Han ZhangMaoguo GongFeiping NieXuelong LiPublished in: ICASSP (2023)
Keyphrases
- subspace learning
- feature extraction
- dimensionality reduction
- manifold learning
- sparse representation
- sparse coding
- principal component analysis
- face recognition
- low rank approximation
- high dimensional
- image classification
- low dimensional
- feature fusion
- high dimensional data
- data representation
- feature space
- semi supervised
- feature selection
- dimension reduction
- unsupervised learning
- maximum margin criterion
- discriminant analysis
- feature vectors
- linear discriminant analysis
- subspace learning algorithm
- linear combination
- preprocessing
- learning algorithm
- fisher criterion
- high dimensionality
- generative model
- natural images
- face images
- canonical correlation analysis
- image processing
- data sets