83
Voted
CORR
2008
Springer
14 years 11 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
NIPS
2008
15 years 9 days ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
ICIP
2004
IEEE
16 years 14 days ago
2004
IEEE
Regularization techniques have been in use in signal recovery for over four decades. In this paper, we propose a new, synthetic approach to the study of regularization methods in ...