Contrastive inverse regression for dimension reduction.
Sam HawkeHengrui LuoDidong LiPublished in: CoRR (2023)
Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- regression model
- feature extraction
- high dimensional
- high dimensional problems
- low dimensional
- singular value decomposition
- random projections
- data mining and machine learning
- linear discriminant analysis
- high dimensional data
- variable selection
- manifold learning
- feature selection
- dimensionality reduction
- discriminative information
- unsupervised learning
- feature space
- preprocessing
- high dimensionality
- regression algorithm
- dimension reduction methods
- high dimensional data analysis
- support vector
- neural network
- model selection
- semi supervised
- pairwise
- image segmentation
- image processing
- database