On the SVP for low-dimensional circulant lattices.
Gengran HuYanbin PanRenzhang LiuPublished in: J. Comb. Optim. (2024)
Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- euclidean space
- least squares
- feature space
- data points
- dimension reduction
- principal component analysis
- fourier transform
- input space
- iterative methods
- graph embedding
- nonlinear dimensionality reduction
- linear dimensionality reduction
- face recognition
- vector space
- pattern recognition
- neural network
- photometric stereo
- linear subspace
- discrete fourier transform
- d objects
- single viewpoint
- recognizing facial expressions