Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction.
M. Saquib SarfrazMarios KoulakisConstantin SeiboldRainer StiefelhagenPublished in: CVPR (2022)
Keyphrases
- graph embedding
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- high dimensional data
- subspace learning
- data representation
- unsupervised learning
- feature selection
- semi supervised
- semi supervised dimensionality reduction
- euclidean distance
- principal component analysis
- knn
- k nearest neighbor
- semi supervised learning
- sparse representation
- data points
- discriminant analysis
- manifold learning
- feature extraction
- embedding space
- linear discriminant analysis
- multiscale
- label information
- neural network
- data sets