Quantum locally linear embedding for nonlinear dimensionality reduction.
Xi HeLi SunChufan LyuXiaoting WangPublished in: Quantum Inf. Process. (2020)
Keyphrases
- nonlinear dimensionality reduction
- locally linear embedding
- dimensionality reduction
- manifold learning
- low dimensional
- high dimensional data
- high dimensional
- laplacian eigenmaps
- diffusion maps
- feature mapping
- dimensional data
- principal components analysis
- maximum variance unfolding
- geodesic distance
- subspace learning
- data sets
- underlying manifold
- image processing
- riemannian manifolds
- dimensionality reduction methods
- surface reconstruction
- principal components
- principal component analysis
- d objects
- data points
- preprocessing
- face recognition