197 search results - page 18 / 40 » Learning a Restricted Bayesian Network for Object Detection |
CL
2000
Springer
13 years 12 months ago
2000
Springer
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
IJISTA
2006
13 years 7 months ago
2006
In this paper a method for extraction of mid-level semantics from sign language videos is proposed, by employing high level domain knowledge. The semantics concern labeling of the ...
AIED
2009
Springer
14 years 2 months ago
2009
Springer
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...