Domain Adaption Based on Symmetric Matrices Space Bi-Subspace Learning and Source Linear Discriminant Analysis Regularization.
Qian LiZhengming MaShuyu LiuYanli PeiPublished in: IEEE Access (2021)
Keyphrases
- subspace learning
- linear discriminant analysis
- dimensionality reduction
- fisher criterion
- low dimensional
- principal component analysis
- face recognition
- high dimensional data
- discriminant analysis
- linear subspace
- null space
- dimension reduction
- manifold learning
- feature extraction
- feature space
- high dimensional
- small sample size
- pattern recognition
- discriminative information
- unsupervised learning
- singular value decomposition
- locality preserving projections
- high dimensionality
- data representation
- data points
- random projections
- higher dimensional
- sparse representation
- distance measure
- support vector
- reproducing kernel hilbert space
- finite dimensional
- support vector machine svm
- similarity measure