A novel robust adaptive subspace learning framework for dimensionality reduction.
Weizhi XiongGuolin YuJun MaSheng LiuPublished in: Appl. Intell. (2024)
Keyphrases
- subspace learning
- dimensionality reduction
- graph embedding
- low dimensional
- data representation
- high dimensional data
- high dimensional
- feature extraction
- pattern recognition
- principal component analysis
- metric learning
- high dimensionality
- manifold learning
- maximum margin criterion
- learning algorithm
- unsupervised learning
- co occurrence
- feature space
- image processing
- computer vision