2901 search results - page 34 / 581 » Predicting non-stationary processes |
121
Voted
AMT
2006
Springer
15 years 7 months ago
2006
Springer
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
166
Voted
BMVC
2010
15 years 1 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 ...
120
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
124
Voted
NIPS
2008
15 years 5 months ago
2008
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
142
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...