7 search results - page 1 / 2 » Boosting and Structure Learning in Dynamic Bayesian Networks... |
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
FGR
2000
IEEE
13 years 9 months ago
2000
IEEE
CVPR
2000
IEEE
14 years 6 months ago
2000
IEEE
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
ICMCS
2008
IEEE
13 years 11 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
BMCBI
2010
13 years 4 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...