Dimension Reduction for Polynomials over Gaussian Space and Applications.
Badih GhaziPritish KamathPrasad RaghavendraPublished in: Computational Complexity Conference (2018)
Keyphrases
- dimension reduction
- low dimensional
- high dimensional
- principal component analysis
- feature extraction
- manifold learning
- singular value decomposition
- random projections
- variable selection
- high dimensional problems
- linear discriminant analysis
- high dimensional data
- data mining and machine learning
- cluster analysis
- high dimensionality
- lower dimensional
- dimensionality reduction
- discriminative information
- feature space
- unsupervised learning
- maximum likelihood
- partial least squares
- feature selection
- database
- vector space
- text mining
- optical flow
- face recognition
- intrinsic dimension
- high dimensional data analysis