An Isometric Embedding of the Impossible Triangle into the Euclidean Space of Lowest Dimension.
Zhenbing ZengYaochen XuZhengfeng YangZhi-Bin LiPublished in: MC (2020)
Keyphrases
- euclidean space
- vector space
- dimensional euclidean space
- embedding space
- pairwise distances
- geodesic distance
- multi dimensional scaling
- low dimensional
- shape analysis
- riemannian manifolds
- metric space
- euclidean distance
- laplacian eigenmaps
- data points
- nonlinear dimensionality reduction
- similarity search
- quadratic form
- constant curvature
- multidimensional scaling
- graph laplacian
- graph embedding
- neural network
- similarity measure
- latent space
- feature points
- dimensionality reduction
- nearest neighbor
- feature vectors
- data sets