Dimensionality reduction of tensor based on subspace learning and local homeomorphism.
Guokai ZhangZhengming MaHaidong HuangPublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- subspace learning
- dimensionality reduction
- high dimensional data
- high dimensional
- subspace learning algorithm
- pattern recognition
- low dimensional
- principal component analysis
- feature selection
- data representation
- high dimensionality
- manifold learning
- dimension reduction
- unsupervised learning
- dimensionality reduction methods
- feature extraction
- data points
- linear discriminant analysis
- feature space
- singular value decomposition
- locality preserving projections
- robust face recognition
- sparse representation
- locally linear embedding
- graph embedding
- fisher criterion
- data sets
- metric learning