Low-Dimensional Lattice Basis Reduction Revisited.
Phong Q. NguyenDamien StehléPublished in: ANTS (2004)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- principal component analysis
- high dimensional data
- input space
- data points
- dimension reduction
- euclidean space
- subspace learning
- vector space
- feature space
- nonlinear dimensionality reduction
- data sets
- multidimensional scaling
- neural network
- feature representation
- graph embedding
- lower dimensional
- pattern recognition
- databases