9 search results - page 1 / 2 » A Constrained Optimization Approach to Preserving Prior Know... |
TNN
2008
13 years 4 months ago
2008
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
TSMC
2008
13 years 4 months ago
2008
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
MICCAI
2010
Springer
13 years 3 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...