Constructions and Bounds for Mixed-Dimension Subspace Codes.
Thomas HonoldMichael KiermaierSascha KurzPublished in: CoRR (2015)
Keyphrases
- upper bound
- lower bound
- error correction
- low dimensional
- upper and lower bounds
- subspace clustering
- clustering high dimensional data
- principal component analysis
- error bounds
- dimensionality reduction
- tight bounds
- worst case
- neural network
- subspace clusters
- error correcting codes
- error control
- arbitrary dimension
- linear subspace
- eigendecomposition
- principal components
- input data
- high dimensional
- feature extraction
- data sets