Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction.
Min-Ling ZhangJing-Han WuWei-Xuan BaoPublished in: ACM Trans. Knowl. Discov. Data (2022)
Keyphrases
- linear discriminant analysis
- dimensionality reduction
- discriminant analysis
- label information
- principal component analysis
- high dimensional data
- dimension reduction
- small sample size
- high dimensional
- dealing with high dimensional data
- feature space
- discriminant features
- feature extraction
- principal components analysis
- high dimensionality
- low dimensional
- pattern recognition
- subspace learning
- data representation
- data points
- manifold learning
- input space
- class separability
- face recognition
- null space
- subspace methods
- linear discriminant
- unsupervised feature selection
- principal components
- supervised dimensionality reduction
- linear projection
- discriminative information
- random projections
- feature selection
- fisher criterion
- dimensionality reduction methods
- class discrimination
- singular value decomposition
- locality preserving projections
- lower dimensional
- data analysis
- metric learning
- original data
- support vector machine svm