Sparse robust adaptive unsupervised subspace learning for dimensionality reduction.
Weizhi XiongGuolin YuJun MaSheng LiuPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- subspace learning
- dimensionality reduction
- high dimensional
- unsupervised learning
- sparse representation
- low rank approximation
- sparse coding
- high dimensional data
- principal component analysis
- low dimensional
- high dimensionality
- pattern recognition
- data points
- manifold learning
- data representation
- semi supervised
- feature extraction
- dimensionality reduction methods
- feature space
- graph embedding
- singular value decomposition
- linear discriminant analysis
- supervised learning
- fisher criterion
- subspace learning algorithm
- pairwise
- feature selection
- locality preserving projections
- linear dimensionality reduction
- machine learning
- natural images
- face recognition
- learning algorithm