Geometric Characterizations of Graphs Using Heat Kernel Embeddings.
Hewayda ElGhawalbyEdwin R. HancockPublished in: IMA Conference on the Mathematics of Surfaces (2009)
Keyphrases
- heat kernel
- laplace beltrami
- shape analysis
- vector space
- graph structure
- graph laplacian
- euclidean space
- shape descriptors
- minimum spanning tree
- euclidean distance
- weight matrix
- shape matching
- geodesic distance
- spanning tree
- multidimensional scaling
- low dimensional
- scale space
- point cloud
- random walk
- basis functions
- spectral analysis
- distance matrix
- multiscale
- manifold learning
- spectral clustering
- dimensionality reduction
- undirected graph
- graph clustering
- riemannian manifolds
- graph theory
- nodes of a graph
- d mesh
- geometric structure
- weighted graph
- embedding space
- d objects
- feature selection