Scheduling Dimension Reduction of LPV Models - A Deep Neural Network Approach.
Patrick J. W. KoelewijnRoland TóthPublished in: ACC (2020)
Keyphrases
- dimension reduction
- neural network
- feature extraction
- principal component analysis
- neural network model
- high dimensional
- high dimensional problems
- manifold learning
- partial least squares
- unsupervised learning
- linear discriminant analysis
- dimension reduction methods
- manifold embedding
- data mining and machine learning
- random projections
- singular value decomposition
- low dimensional
- data analysis
- data mining