160 search results - page 5 / 32 » Maximum a posteriori based regularization parameter selectio... |
IJON
1998
13 years 8 months ago
1998
The method presented here is aimed to a direct fast setting of the parameters of a RBF network for function approximation. It is based on a hierarchical gridding of the input spac...
NIPS
2008
13 years 10 months 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
2010
IEEE
13 years 6 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
COLT
2006
Springer
14 years 12 days ago
2006
Springer
Abstract. We present a unified and complete account of maximum entropy distribution estimation subject to constraints represented by convex potential functions or, alternatively, b...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...