Embeddings of k-Complexes into 2k-Manifolds.
Pavel PatákMartin TancerPublished in: Discret. Comput. Geom. (2024)
Keyphrases
- manifold learning
- euclidean space
- low dimensional
- low dimensional spaces
- dimensionality reduction
- manifold embedding
- vector space
- high dimensional data
- nonlinear dimensionality reduction
- low dimensional manifolds
- multi type
- shape analysis
- high dimensional
- higher dimensional
- riemannian manifolds
- arbitrary dimension
- manifold structure
- latent space
- data sets
- cell complexes
- semi supervised
- endoscopic video
- critical points
- hilbert space
- protein complexes
- sparse representation
- video sequences
- feature extraction
- social networks