Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks.

Patrik Reizinger Bálint Gyires-Tóth

Published in: CoRR (2019)

Keyphrases

weight matrix
regularization methods
neural network
edge preserving
total variation
regularization method
inverse problems
pattern recognition
regularization parameter
image restoration
adjacency matrix
machine learning
image processing
prior knowledge
semi supervised