GeodesicEmbedding (GE): A High-Dimensional Embedding Approach for Fast Geodesic Distance Queries.
Qianwei XiaJuyong ZhangZheng FangJin LiMingyue ZhangBailin DengYing HePublished in: IEEE Trans. Vis. Comput. Graph. (2022)
Keyphrases
- geodesic distance
- embedding space
- high dimensional
- manifold learning
- euclidean space
- shortest path
- low dimensional
- euclidean distance
- fisher information
- geometric structure
- query processing
- distance metric
- data points
- distance transform
- multidimensional scaling
- dimensionality reduction
- pattern recognition
- high dimensionality
- gaussian mixture
- riemannian manifolds
- multi dimensional