Low-dimensional lattice basis reduction revisited.
Phong Q. NguyenDamien StehléPublished in: ACM Trans. Algorithms (2009)
Keyphrases
- low dimensional
- high dimensional
- high dimensional data
- dimensionality reduction
- input space
- principal component analysis
- manifold learning
- dimension reduction
- euclidean space
- feature space
- data points
- vector space
- multidimensional scaling
- linear dimensionality reduction
- nonlinear dimensionality reduction
- latent space
- embedding space
- real world
- graph embedding
- low dimensionality
- linear subspace
- subspace learning
- lower dimensional
- feature representation
- human computer interaction
- nearest neighbor
- face recognition