Comparison of Moving Least Squares and RBF+poly for Interpolation and Derivative Approximation.
Victor BayonaPublished in: J. Sci. Comput. (2019)
Keyphrases
- least squares
- optical flow
- gaussian convolution
- neural network
- radial basis function
- real time
- rbf neural network
- closed form
- parameter estimation
- support vector machine svm
- machine learning
- genetic algorithm
- moving objects
- image sequences
- rbf network
- policy evaluation
- partial derivatives
- sparse linear
- series expansion
- mlp neural networks
- computer vision