Low-Dimensional Shaping for High-Dimensional Lattice Codes.
Nuwan S. FerdinandBrian M. KurkoskiMatthew S. NoklebyBehnaam AazhangPublished in: CoRR (2016)
Keyphrases
- low dimensional
- high dimensional
- high dimensional data
- dimensionality reduction
- dimension reduction
- manifold learning
- data points
- input space
- error correction
- sparse data
- euclidean space
- high dimensionality
- vector space
- feature space
- multidimensional scaling
- error correcting codes
- linear subspace
- nearest neighbor
- high dimensional spaces
- high dimensions
- high dimensional data space
- graph embedding
- lattice structure
- low dimensional spaces
- lower dimensional
- similarity search
- multi dimensional
- nearest neighbor search
- variable selection
- principal component analysis
- dimensional data
- binary codes
- nonlinear dimensionality reduction
- kernel function
- low dimensional manifolds
- linear dimensionality reduction
- low dimensionality
- pairwise distances
- computer vision
- neural network