Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More.
Johannes KlicperaMarten LienenStephan GünnemannPublished in: ICML (2021)
Keyphrases
- high dimensions
- high dimensional data
- high dimensional
- graph embedding
- low dimensional
- pattern recognition
- geodesic distance
- high dimensional spaces
- video sequences
- image data
- dimensionality reduction
- computer vision
- distance function
- euclidean distance
- high dimensionality
- manifold learning
- poor quality
- neural network
- databases