869 search results - page 84 / 174 » Max-Margin Markov Networks |
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper presents a novel approach of multiple target tracking from multiple collaborative cameras. Firstly, particle filtering for conditional density propagation on graphs to...
DSN
2002
IEEE
14 years 3 months ago
2002
IEEE
Model checking has been introduced as an automated technique to verify whether functional properties, expressed in a formal logic like computational tree logic (CTL), do hold in a...
AINA
2008
IEEE
14 years 4 months ago
2008
IEEE
Data transmission over wireless networks is challenging due to the occurrence of burst errors, and packet loss caused by such errors seriously limits the maximum achievable throug...
NN
1997
Springer
14 years 2 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
AAAI
2011
12 years 10 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...