45 search results - page 5 / 9 » Encoding Probabilistic Causal Model in Probabilistic Action ... |
IJAR
2006
14 years 9 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
85
Voted
CVIU
2006
14 years 9 months ago
2006
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
102
click to vote
NIPS
2004
14 years 10 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
90
Voted
FUIN
2008
14 years 8 months ago
2008
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...