Low-Dimensional Shaping for High-Dimensional Lattice Codes.
Nuwan S. FerdinandBrian M. KurkoskiMatthew S. NoklebyBehnaam AazhangPublished in: IEEE Trans. Wirel. Commun. (2016)
Keyphrases
- concept lattice
- low dimensional
- high dimensional
- dimensionality reduction
- high dimensional data
- manifold learning
- high dimensionality
- data points
- input space
- error correction
- vector space
- multidimensional scaling
- similarity search
- dimension reduction
- metric space
- multi dimensional
- principal component analysis
- nearest neighbor search
- euclidean space
- high dimensional spaces
- nonlinear dimensionality reduction
- high dimensions
- error correcting codes
- binary codes
- low dimensional manifolds
- feature space
- high dimensional data space
- sparse data
- lower dimensional
- noisy data
- linear subspace
- gene expression data
- kernel function
- manifold structure
- high dimensional data sets
- nearest neighbor
- low dimensional spaces
- pairwise