1018 search results - page 69 / 204 » Learning Probabilistic Models of Contours |
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
JMLR
2010
14 years 4 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
ICML
1997
IEEE
15 years 10 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, preci...