Real-time sufficient dimension reduction through principal least squares support vector machines.
Andreas ArtemiouYuexiao DongSeung Jun ShinPublished in: Pattern Recognit. (2021)
Keyphrases
- dimension reduction
- least squares support vector machine
- ls svm
- variable selection
- principal component analysis
- feature extraction
- high dimensional
- singular value decomposition
- high dimensional data
- feature selection
- manifold learning
- random projections
- unsupervised learning
- low dimensional
- feature space
- high dimensionality
- cluster analysis
- linear discriminant analysis
- least squares
- parameter estimation
- data sets
- dimensionality reduction
- training data
- computer vision
- machine learning