730 search results - page 15 / 146 » Learning for control from multiple demonstrations |
CVPR
2010
IEEE
14 years 9 months ago
2010
IEEE
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
87
Voted
LCN
2006
IEEE
15 years 3 months ago
2006
IEEE
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
68
Voted
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— Humanoid robots are expected to share human environments in the future and it is important to ensure safety of their operation. A serious threat to safety is the fall of a huma...