321 search results - page 28 / 65 » Stacked Gaussian Process Learning |
100
click to vote
AAAI
2010
15 years 1 months ago
2010
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
131
click to vote
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
We present a new approach to matching graphs embedded in R2 or R3 . Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not req...
NIPS
2003
15 years 1 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...