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