Bandwidth and low dimensional embedding.
Yair BartalDouglas E. CarrollAdam MeyersonOfer NeimanPublished in: Theor. Comput. Sci. (2013)
Keyphrases
- low dimensional
- nonlinear dimensionality reduction
- graph embedding
- embedding space
- multidimensional scaling
- vector space
- high dimensional
- nonlinear manifold learning
- latent space
- manifold learning
- pairwise distances
- dimensionality reduction
- low dimensional structure
- laplacian eigenmaps
- high dimensional data
- euclidean space
- data points
- principal component analysis
- low dimensional spaces
- lower dimensional
- hamming space
- network bandwidth
- input space
- dimension reduction
- geometric structure
- binary codes
- low dimensional manifolds
- nearest neighbor
- bandwidth utilization
- neural network
- feature space
- data embedding
- pairwise
- linear subspace
- feature representation
- bandwidth allocation
- information hiding
- manifold structure
- locally linear embedding