Low-dimensional embedding with extra information.
Mihai BadoiuErik D. DemaineMohammad Taghi HajiaghayiPiotr IndykPublished in: SCG (2004)
Keyphrases
- extra information
- low dimensional
- nonlinear dimensionality reduction
- graph embedding
- embedding space
- multidimensional scaling
- vector space
- high dimensional
- nonlinear manifold learning
- pairwise distances
- manifold learning
- latent space
- dimensionality reduction
- euclidean space
- low dimensional spaces
- high dimensional data
- laplacian eigenmaps
- information loss
- input space
- low dimensional structure
- principal component analysis
- low dimensional manifolds
- data points
- dimension reduction
- hamming space
- feature space
- lower dimensional
- feature representation
- subspace learning
- locally linear embedding
- binary codes
- linear subspace
- semi supervised
- data hiding
- linear dimensionality reduction
- gaussian process latent variable models
- metric space
- pairwise
- video sequences