Threshold for detecting high dimensional geometry in anisotropic random geometric graphs.
Matthew S. BrennanGuy BreslerBrice HuangPublished in: Random Struct. Algorithms (2024)
Keyphrases
- high dimensional
- topological information
- geometric structure
- geometric information
- geometric constraints
- reeb graph
- geometry theorem proving
- geometric modeling
- low dimensional
- graph theoretical
- dimensionality reduction
- similarity search
- geometric features
- graph databases
- graph theoretic
- high dimensionality
- projective geometry
- object geometry
- manifold learning
- graph matching
- graph theory
- surface geometry
- geometric primitives
- geometric objects
- nearest neighbor
- multi dimensional
- multiscale segmentation
- high dimensional data
- information geometry
- d objects
- diffusion filtering
- feature space
- kernel function
- graph embedding
- geometric models
- graph kernels
- gene expression data
- similarity measure
- anisotropic diffusion