Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction.
Yuheng JiaJiahao JiangYongheng WangPublished in: KDD (2023)
Keyphrases
- locality preserving projections
- dimensionality reduction
- locality preserving
- feature space
- manifold learning
- principal component analysis
- linear discriminant analysis
- high dimensional
- low dimensional
- subspace learning
- high dimensional data
- locally linear embedding
- pattern recognition
- high dimensionality
- unsupervised learning
- feature extraction
- face recognition
- feature selection
- data points
- principal components
- singular value decomposition
- data representation
- euclidean distance
- random projections
- dimensionality reduction methods
- lower dimensional
- discriminant analysis
- kernel pca
- sparse representation
- metric learning
- multi label
- principal components analysis