Quantifying Extrinsic Curvature in Neural Manifolds.
Francisco AcostaSophia SanbornKhanh Dao DucManu S. MadhavNina MiolanePublished in: CVPR Workshops (2023)
Keyphrases
- constant curvature
- network architecture
- neural network
- camera calibration
- circular arcs
- euclidean space
- multiscale
- manifold learning
- bio inspired
- scale space
- neural fuzzy
- riemannian manifolds
- cell complexes
- differential geometry
- planar curves
- curvature estimation
- nonlinear predictive control
- low dimensional
- endoscopic video
- hebbian learning
- geometrical properties
- biologically plausible
- neural model
- geometric structure
- associative memory
- neural network model
- high dimensional