Low-Dimensional Embedding with Extra Information.
Mihai BadoiuErik D. DemaineMohammad Taghi HajiaghayiPiotr IndykPublished in: Discret. Comput. Geom. (2006)
Keyphrases
- extra information
- low dimensional
- nonlinear dimensionality reduction
- embedding space
- graph embedding
- vector space
- multidimensional scaling
- high dimensional
- nonlinear manifold learning
- pairwise distances
- latent space
- manifold learning
- dimensionality reduction
- high dimensional data
- low dimensional spaces
- principal component analysis
- laplacian eigenmaps
- euclidean space
- feature space
- data points
- input space
- low dimensional structure
- information loss
- feature representation
- locally linear embedding
- low dimensional manifolds
- dimension reduction
- linear dimensionality reduction
- linear subspace
- euclidean distance
- manifold structure
- data hiding
- feature selection
- gaussian process latent variable models
- pairwise
- knowledge discovery
- fuzzy logic
- data model
- geodesic distance
- databases
- nearest neighbor
- lower dimensional
- similarity search
- digital images
- distance measure