Subspace Polynomials and Cyclic Subspace Codes.
Eli Ben-SassonTuvi EtzionAriel GabizonNetanel RavivPublished in: CoRR (2014)
Keyphrases
- low dimensional
- high dimensional
- feature space
- dimensionality reduction
- subspace clustering
- clustering high dimensional data
- lower dimensional
- kernel based nonlinear
- principal component analysis
- high dimensional data
- image set
- low rank representation
- grassmann manifold
- subspace clusters
- subspace learning
- manifold learning
- principal components
- real time
- coding scheme
- feature extraction
- data sets