174 search results - page 10 / 35 » Update Rules for Parameter Estimation in Bayesian Networks |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— The paper considers the algorithm NLU for distributed (vector) parameter estimation in sensor networks, where, the local observation models are nonlinear, and inter-sen...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
Due to its static nature, the inference capability of Bayesian Networks (BNs) often deteriorates when the basis of input data varies, especially in video processing applications w...
PRL
2000
13 years 8 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
JCB
2006
13 years 8 months ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
ACCV
2006
Springer
14 years 2 months ago
2006
Springer
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...