Least Square Regression with coefficient Regularization by Gradient Descent.
Juan HuangHong ChenLuoqing LiPublished in: Int. J. Wavelets Multiresolution Inf. Process. (2012)
Keyphrases
- loss function
- cost function
- mumford shah functional
- regularization term
- objective function
- regularization parameter
- regularization method
- regularization framework
- projection operator
- semi supervised learning
- machine learning
- neural network
- linear combination
- prior information
- multiscale
- reproducing kernel hilbert space
- error function
- blind deconvolution
- inverse problems
- stochastic gradient descent
- image processing
- regularization methods
- database