Threshold for Detecting High Dimensional Geometry in Anisotropic Random Geometric Graphs.
Matthew S. BrennanGuy BreslerBrice HuangPublished in: CoRR (2022)
Keyphrases
- high dimensional
- topological information
- geometric structure
- reeb graph
- geometric information
- geometric constraints
- geometry theorem proving
- graph theoretical
- low dimensional
- geometric modeling
- similarity search
- multi dimensional
- data points
- three dimensional
- geometric features
- object geometry
- weighted graph
- geometric primitives
- dimensionality reduction
- anisotropic diffusion
- information geometry
- high dimensionality
- low dimensional manifolds
- gene expression data
- projective geometry
- graph matching
- surface geometry
- graph mining
- manifold learning
- geometric objects
- graph structure
- feature space
- high dimensional data
- metric space
- graph embedding
- cad model
- visual data
- calibrated images
- graph theory
- diffusion filtering