Lossless dimension expanders via linearized polynomials and subspace designs.
Venkatesan GuruswamiNicolas ReschChaoping XingPublished in: Electron. Colloquium Comput. Complex. (2018)
Keyphrases
- high dimensional
- subspace learning
- low dimensional
- feature extraction
- dimensionality reduction
- image compression
- subspace methods
- high dimensional data
- linear subspace
- lower dimensional
- subspace clustering
- multiple dimensions
- principal component analysis
- feature space
- nonlinear optimization
- dimensional data
- hermite transform
- multi dimensional
- lossless compression
- principal components
- linear combination
- data points