440 search results - page 18 / 88 » Learning Nonlinear Dynamic Models from Non-sequenced Data |
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
ECSQARU
2005
Springer
14 years 1 months ago
2005
Springer
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...