Long shortest vectors in low dimensional lattices.
Florian PausingerPublished in: Discret. Math. (2020)
Keyphrases
- low dimensional
- vector space
- lower dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- feature vectors
- high dimensional data
- euclidean space
- principal component analysis
- input space
- dimension reduction
- shortest path
- feature space
- nonlinear dimensionality reduction
- high dimensional feature space
- genetic algorithm
- semantic space
- feature extraction
- data sets
- support vector machine
- data points
- image sequences
- linear subspace
- image processing
- learning algorithm
- graph embedding
- addition chains