Multivariate Regression via Stiefel Manifold Constraints.
Gökhan H. BakirArthur GrettonMatthias O. FranzBernhard SchölkopfPublished in: DAGM-Symposium (2004)
Keyphrases
- multivariate regression
- euclidean space
- regression model
- low dimensional
- feature space
- constraint satisfaction
- three dimensional
- training set
- high dimensional
- classification accuracy
- principal component analysis
- distance function
- shape analysis
- manifold learning
- lower dimensional
- nonlinear dimensionality reduction