Deep subspace encoders for nonlinear system identification.
Gerben Izaak BeintemaMaarten SchoukensRoland TóthPublished in: Autom. (2023)
Keyphrases
- principal component analysis
- low dimensional
- dimensionality reduction
- subspace learning
- subspace clustering
- high dimensional data
- kernel based nonlinear
- video compression
- high dimensional
- feature space
- principal components
- lower dimensional
- website
- linear subspace
- deep learning
- linear projection
- multiscale
- feature extraction
- error propagation
- subspace methods
- deep architectures
- clustering high dimensional data