Dimension Reduction for Polynomials over Gaussian Space and Applications.
Badih GhaziPritish KamathPrasad RaghavendraPublished in: CoRR (2017)
Keyphrases
- dimension reduction
- low dimensional
- principal component analysis
- high dimensional
- variable selection
- data mining and machine learning
- feature extraction
- high dimensional data
- random projections
- manifold learning
- feature selection
- linear discriminant analysis
- partial least squares
- high dimensional problems
- dimensionality reduction
- singular value decomposition
- feature space
- discriminative information
- high dimensional data analysis
- lower dimensional
- preprocessing
- cluster analysis
- vector space
- least squares
- object recognition