Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators.
Anindita MaitiKeegan StonerJames HalversonPublished in: CoRR (2021)
Keyphrases
- parameter space
- neural network
- image space
- high dimensional
- parameter values
- starting points
- neural network model
- back propagation
- affine invariant
- likelihood function
- linear programming
- fuzzy logic
- symmetry detection
- linear transformations
- artificial neural networks
- invariance properties
- planar shapes
- bilateral symmetry
- multivariate data
- invariant features
- neural network is trained
- affine transformation
- fault diagnosis
- search space
- pattern recognition
- genetic algorithm
- bp neural network
- riemannian manifolds
- feed forward
- rigid motion
- probability density function
- least squares
- search algorithm
- feature extraction