Turing approximations, toric isometric embeddings & manifold convolutions.
Pablo Suárez-SerratoPublished in: CoRR (2021)
Keyphrases
- manifold learning
- euclidean space
- low dimensional
- high dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- riemannian manifolds
- vector space
- manifold structure
- geodesic distance
- high dimensional data
- shape analysis
- turing machine
- sparse representation
- head pose estimation
- dimension reduction
- manifold embedding
- feature extraction
- low dimensional manifolds
- euclidean distance
- metric space
- machine intelligence
- closed form
- data sets
- fourier transform
- lower dimensional
- approximation methods
- principal component analysis
- tangent space
- data points
- hilbert space
- gaussian convolution
- video sequences
- feature space
- fisher information
- graph laplacian
- fast fourier transform