Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization.
Wei-Xuan BaoJun-Yi HangMin-Ling ZhangPublished in: KDD (2021)
Keyphrases
- dimensionality reduction
- high confidence
- label information
- data representation
- feature extraction
- high dimensionality
- manifold learning
- high dimensional
- principal component analysis
- linear discriminant analysis
- pattern recognition
- high dimensional data
- nonlinear dimensionality reduction
- principal components
- partially labeled
- low dimensional
- kernel pca
- data points
- objective function
- feature selection
- random projections
- confidence level
- dimensionality reduction methods
- multi label
- structure preserving
- feature space
- confidence measure
- pattern recognition and machine learning
- multi label classification
- metric learning
- input space
- text categorization
- lower dimensional
- discriminant analysis
- class labels
- semi supervised learning
- semi supervised
- association rules
- machine learning
- linear dimensionality reduction
- neural network