Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks.
Francis WilliamsMatthew TragerJoan BrunaDenis ZorinPublished in: CVPR (2021)
Keyphrases
- neural network
- network architecture
- cubic spline
- neural model
- fuzzy systems
- implicit polynomial
- pattern recognition
- neural architecture
- connectionist models
- artificial neural networks
- neural fuzzy
- genetic algorithm
- associative memory
- neural network model
- neural learning
- back propagation
- wide range
- fault diagnosis
- finite number
- b spline
- recurrent neural networks
- least squares
- free form
- neural computation
- neural architectures
- training algorithm
- learning rules
- fuzzy logic
- vector field
- radial basis function
- feed forward
- multilayer perceptron
- shape preserving
- activation function
- self organizing maps
- recurrent networks
- biologically plausible
- training process
- feedforward neural networks
- active appearance models
- neural nets
- spiking neurons
- surface fitting
- distributed representations
- pose estimation
- feed forward neural networks