Smooth fitting with a method for determining the regularization parameter under the genetic programming algorithm.
Yun Seog YeunKyung Ho LeeSang Min HanYoung Soon YangPublished in: Inf. Sci. (2001)
Keyphrases
- regularization parameter
- synthetic and real images
- cost function
- computational complexity
- genetic programming
- similarity measure
- objective function
- cross validation
- input data
- k means
- image restoration
- regularization method
- probabilistic model
- prior information
- em algorithm
- solution path
- hyperparameters
- alternating minimization
- noise variance
- energy function
- closed form
- edge detection
- worst case
- regularization term
- smoothness constraint
- data sets
- regularization methods
- prior knowledge
- model selection
- expectation maximization