P2S distance induced locally conjugated orthogonal subspace learning for feature extraction.
Bo LiZhao-Jie YangAn-Jie GuoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- subspace learning
- feature extraction
- dimensionality reduction
- manifold learning
- principal component analysis
- face recognition
- euclidean distance
- feature fusion
- low dimensional
- high dimensional data
- high dimensional
- data representation
- semi supervised
- preprocessing
- dimension reduction
- sparse representation
- sparse coding
- geodesic distance
- maximum margin criterion
- feature selection
- linear discriminant analysis
- image classification
- distance measure
- feature vectors
- discriminant analysis
- face images
- feature space
- machine learning
- fisher criterion
- text classification
- distance metric
- co occurrence
- pattern recognition
- data sets