Extending error bounds for radial basis function interpolation to measuring the error in higher order Sobolev norms.
Thomas HangelbroekChristian RiegerPublished in: CoRR (2023)
Keyphrases
- error bounds
- radial basis function
- higher order
- image interpolation
- rbf network
- rbf neural network
- theoretical analysis
- neural network
- artificial neural networks
- support vector
- multilayer perceptron
- basis functions
- support vector machine svm
- worst case
- hidden layer
- natural images
- support vector machine
- pairwise
- rbf kernel
- machine learning
- markov random field
- pattern recognition
- wavelet synopses
- back propagation
- linear combination
- computer vision
- orthogonal least squares