Embedded Ridge Approximations: Constructing Ridge Approximations Over Localized Scalar Fields For Improved Simulation-Centric Dimension Reduction.
Chun Yui WongPranay SeshadriGeoffrey T. ParksMark A. GirolamiPublished in: CoRR (2019)
Keyphrases
- feature space
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- linear discriminant analysis
- low dimensional
- dimensionality reduction
- high dimensional problems
- variable selection
- manifold learning
- data points
- discriminative information
- high dimensional data analysis
- data mining and machine learning
- random projections
- partial least squares
- discriminant analysis
- database
- singular value decomposition
- unsupervised learning
- least squares
- pairwise
- computer vision