79 search results - page 11 / 16 » Nonlinear Stochastic Optimization by the Monte-Carlo Method |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During...
APBC
2004
13 years 8 months ago
2004
Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structur...
GECCO
2003
Springer
14 years 20 days ago
2003
Springer
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
ISVC
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we propose a new method for pairwise rigid point set registration. We pay special attention to noise robustness, outlier resistance and global optimal alignment. The ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...