6 search results - page 1 / 2 » Block-GP: Scalable Gaussian Process Regression for Multimoda... |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
BMVC
2010
13 years 3 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
ICRA
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
ICRA
2008
IEEE
13 years 11 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...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...