Distance-preserving vector space embedding for the closest string problem.
Andreas NienkötterXiaoyi JiangPublished in: ICPR (2016)
Keyphrases
- vector space
- distance preserving
- low dimensional
- high dimensional data
- random projections
- high dimensional
- original data
- euclidean space
- similarity search
- distance measure
- dimensionality reduction
- data points
- latent semantic indexing
- principal component analysis
- feature vectors
- dimension reduction
- feature space
- multidimensional scaling
- vector space model
- riemannian manifolds
- computer vision
- high dimensionality
- data analysis
- similarity measure