Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian.
Xiuyuan ChengGal MishnePublished in: SIAM J. Imaging Sci. (2020)
Keyphrases
- graph laplacian
- laplace beltrami
- random walk
- spectral analysis
- spectral clustering
- spectral methods
- basis functions
- euclidean space
- kernel machines
- weighted graph
- embedding space
- laplacian eigenmaps
- pointwise
- shape analysis
- manifold structure
- neighborhood graph
- semi supervised learning
- manifold learning
- labeled and unlabeled data
- image segmentation
- feature selection
- riemannian manifolds
- sparse representation
- low dimensional
- clustering algorithm