Sufficient dimension reduction for classification using principal optimal transport direction.
Cheng MengJun YuJingyi ZhangPing MaWenxuan ZhongPublished in: NeurIPS (2020)
Keyphrases
- dimension reduction
- feature extraction
- high dimensionality
- data mining and machine learning
- high dimensional
- principal component analysis
- discriminative information
- feature selection
- high dimensional problems
- high dimensional data
- variable selection
- random projections
- feature space
- linear discriminant analysis
- singular value decomposition
- low dimensional
- dimensionality reduction
- partial least squares
- unsupervised learning
- cluster analysis
- dimension reduction methods
- pattern recognition
- manifold learning
- preprocessing step
- support vector machine svm
- principle component analysis
- high dimensional data analysis
- image classification
- optical flow
- training samples
- k nearest neighbor
- text classification
- support vector machine
- data points
- probabilistic model
- image segmentation