On-Manifold Projected Gradient Descent.
Aaron MahlerTyrus BerryTom StephensHarbir AntilMichael MerrittJeanie SchreiberIoannis G. KevrekidisPublished in: CoRR (2023)
Keyphrases
- cost function
- manifold learning
- loss function
- objective function
- high dimensional
- structured light
- euclidean space
- parameter space
- riemannian manifolds
- low dimensional
- linear subspace
- error function
- manifold embedding
- data sets
- fisher information
- riemannian metric
- high dimensional data streams
- lower dimensional
- facial expressions
- artificial neural networks
- feature space
- similarity measure
- feature selection
- genetic algorithm