2868 search results - page 29 / 574 » Inference in Bayesian Networks |
ICIP
2003
IEEE
16 years 3 months ago
2003
IEEE
Due to its static nature, the inference capability of Bayesian Networks (BNs) often deteriorates when the basis of input data varies, especially in video processing applications w...
142
click to vote
PR
2011
14 years 9 months ago
2011
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
109
click to vote
AAAI
2006
15 years 3 months ago
2006
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
107
Voted
UAI
1998
15 years 3 months ago
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
138
click to vote
NIPS
2004
15 years 3 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...