Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction.
Jing-Han WuMin-Ling ZhangPublished in: KDD (2019)
Keyphrases
- linear discriminant analysis
- dimensionality reduction
- discriminant analysis
- label information
- principal component analysis
- high dimensional data
- dimension reduction
- high dimensional
- principal components analysis
- feature extraction
- dealing with high dimensional data
- low dimensional
- discriminant features
- small sample size
- pattern recognition
- feature space
- high dimensionality
- random projections
- linear discriminant
- data representation
- manifold learning
- singular value decomposition
- null space
- principal components
- input space
- linear projection
- lower dimensional
- subspace learning
- dimensionality reduction methods
- feature selection
- class separability
- data points
- supervised dimensionality reduction
- metric learning
- kernel discriminant analysis
- subspace methods
- discriminative information
- neural network
- locality preserving projections
- kernel trick
- fisher criterion
- face recognition
- scatter matrix
- graph embedding
- locally linear embedding
- scatter matrices
- class labels
- image processing
- computer vision
- data mining