Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise.
Katsuyuki HagiwaraKazuhiro KunoShiro UsuiPublished in: ICONIP (1998)
Keyphrases
- gaussian noise
- upper bound
- neural network
- training process
- lower bound
- denoising
- noisy images
- image restoration
- impulse noise
- signal to noise ratio
- noise model
- noise level
- salt and pepper noise
- noise removal
- upper and lower bounds
- jpeg compression
- median filtering
- noise suppression
- pattern recognition
- noise variance
- image denoising
- training examples
- regularization parameter
- digital images
- multiscale