4 search results - page 1 / 1 » Exploring the state sequence space for hidden Markov and sem... |
CSDA
2007
13 years 7 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 1 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 8 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 9 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...