4 search results - page 1 / 1 » Exploring the state sequence space for hidden Markov and sem... |
CSDA
2007
13 years 9 months ago
2007
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categ...
SFM
2007
Springer
14 years 3 months ago
2007
Springer
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
NIPS
2003
13 years 10 months ago
2003
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
ICCV
2001
IEEE
14 years 11 months ago
2001
IEEE
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...