39 search results - page 3 / 8 » Sensorimotor coupling via dynamic bayesian networks |
CVPR
1999
IEEE
14 years 8 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
VLSID
2005
IEEE
14 years 6 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
AAAI
1998
13 years 7 months ago
1998
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
TCSV
2008
13 years 6 months ago
2008
This paper describes a probabilistic framework for faithful reproduction of dynamic facial expressions on a synthetic face model with MPEG-4 facial animation parameters (FAPs) whil...
ICARCV
2006
IEEE
14 years 9 days ago
2006
IEEE
— Despite their popularity, occupancy grids cannot be directly applied to problems where the identity of the objects populating an environment needs to be taken into account (eg ...