Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction.
Jianping GouXia YuanYa XueLan DuJiali YuShuyin XiaZhang YiPublished in: Neural Networks (2023)
Keyphrases
- graph embedding
- dimensionality reduction
- geometrical structure
- semi supervised
- low dimensional
- feature extraction
- discriminant analysis
- discriminant information
- data representation
- semi supervised dimensionality reduction
- unsupervised learning
- feature selection
- high dimensional data
- feature space
- principal component analysis
- embedding space
- high dimensional
- discriminant embedding
- manifold learning
- subspace learning
- pattern recognition
- latent space
- euclidean distance
- label information
- linear discriminant analysis
- data points
- dimension reduction
- feature representation
- supervised dimensionality reduction
- face recognition