509 search results - page 36 / 102 » Using Learning for Approximation in Stochastic Processes |
ICC
2009
IEEE
15 years 9 months ago
2009
IEEE
—Finding the most likely path satisfying a requested additive Quality-of-Service (QoS) value, such as delay, when link metrics are defined as random variables by known probabili...
127
Voted
JGTOOLS
2006
15 years 2 months ago
2006
We render tree foliage levels of detail (LODs) using a new adaptation of billboard clouds. Our contributions are a simple and efficient billboard cloud creation algorithm designed...
149
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
123
Voted
IROS
2008
IEEE
15 years 8 months ago
2008
IEEE
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
123
Voted
CGF
2005
15 years 2 months ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...