Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction.
Xiaohuan LuJiang LongJie WenLunke FeiBob ZhangYong XuPublished in: Pattern Recognit. (2022)
Keyphrases
- graph embedding
- locality preserving projections
- dimensionality reduction
- subspace learning
- low dimensional
- locality preserving
- manifold learning
- data representation
- linear discriminant analysis
- principal component analysis
- discriminant analysis
- high dimensional
- high dimensional data
- unsupervised learning
- face recognition
- dimensionality reduction methods
- feature extraction
- feature selection
- pattern recognition
- feature space
- data points
- locally linear embedding
- semi supervised
- metric learning
- euclidean distance
- embedding space
- manifold structure
- dimension reduction
- similarity measure
- feature vectors
- sparse representation
- data mining
- image processing