Bandwidth and Low Dimensional Embedding.
Yair BartalDouglas E. CarrollAdam MeyersonOfer NeimanPublished in: APPROX-RANDOM (2011)
Keyphrases
- low dimensional
- nonlinear dimensionality reduction
- graph embedding
- embedding space
- vector space
- multidimensional scaling
- high dimensional
- nonlinear manifold learning
- pairwise distances
- latent space
- manifold learning
- dimensionality reduction
- high dimensional data
- laplacian eigenmaps
- low dimensional spaces
- euclidean space
- feature space
- principal component analysis
- feature representation
- low dimensional structure
- lower dimensional
- data points
- input space
- subspace learning
- low dimensional manifolds
- locally linear embedding
- dimension reduction
- high bandwidth
- network bandwidth
- machine learning
- neural network
- binary codes
- high dimensional spaces
- discriminant analysis
- response time
- semi supervised
- video streaming
- optical networks
- bandwidth utilization
- pattern recognition
- computer vision
- hamming space
- linear subspace