1088 search results - page 122 / 218 » A Bayesian Approach to Tackling Hard Computational Problems |
CAEPIA
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
NECO
2002
13 years 10 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
INFOCOM
2012
IEEE
12 years 1 months ago
2012
IEEE
—In this paper, we tackle the spectrum allocation problem in cognitive radio (CR) networks with time-frequency flexibility consideration using combinatorial auction. Different f...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...