Granular Gain of Low-Dimensional Lattices from Binary Linear Codes.
Misako KotaniShingo KawamotoMotohiko IsakaPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2012)
Keyphrases
- pattern classification
- low dimensional
- pattern recognition
- high dimensional
- feature extraction
- principal component analysis
- dimensionality reduction
- linear subspace
- high dimensional data
- binary codes
- data points
- error correcting
- manifold learning
- input space
- dimension reduction
- error correcting codes
- logical operations
- nonlinear manifold
- vector space
- feature space
- linear systems
- linear constraints
- euclidean space
- computer vision
- data sets