Codes with low-dimensional hull.
Xiangrui MengVidya SagarRitumoni SarmaPublished in: Int. J. Inf. Coding Theory (2022)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- error correction
- high dimensional data
- principal component analysis
- convex hull
- vector space
- linear dimensionality reduction
- binary codes
- euclidean space
- data points
- error correcting codes
- dimension reduction
- feature space
- nonlinear dimensionality reduction
- graph embedding
- input space
- pattern recognition
- subspace learning
- multidimensional scaling
- support vector
- feature extraction
- machine learning