Dimensionality Reduction of Dynamics on Lie Manifolds via Structure-Aware Canonical Correlation Analysis.
Wooyoung ChungDaniel PolaniStas TiomkinPublished in: CoRR (2023)
Keyphrases
- canonical correlation analysis
- dimensionality reduction
- dimensionality reduction methods
- low dimensional
- statistical dependencies
- manifold learning
- high dimensional
- nonlinear dimensionality reduction
- manifold structure
- geometric structure
- canonical correlations
- principal component analysis
- partial least squares
- high dimensional data
- least squares
- equivalence relationship
- multivariate statistical
- data representation
- principal components analysis
- dimension reduction
- pattern recognition
- feature extraction
- feature selection
- computer vision
- neural network
- data sets