Dimension Reduction for Robust Covariate Shift Correction.
Fulton WangCynthia RudinPublished in: CoRR (2017)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- variable selection
- covariate shift
- low dimensional
- high dimensional
- high dimensionality
- cluster analysis
- singular value decomposition
- unsupervised learning
- manifold learning
- linear discriminant analysis
- high dimensional data
- dimensionality reduction
- feature selection
- active learning
- domain adaptation
- cross validation
- data sets
- least squares
- feature vectors
- machine learning