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» Gaussian Process modeling of large scale terrain
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ESSMAC
2003
Springer
13 years 11 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
CGF
2010
139views more  CGF 2010»
13 years 1 months ago
Visualization of Large-Scale Urban Models through Multi-Level Relief Impostors
In this paper, we present an efficient approach for the interactive rendering of large-scale urban models, which can be integrated seamlessly with virtual globe applications. Our ...
Carlos Andújar, Pere Brunet, Antoni Chica, ...
ICONIP
2009
13 years 3 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
ISER
2004
Springer
300views Robotics» more  ISER 2004»
13 years 11 months ago
Large-Scale Robotic 3-D Mapping of Urban Structures
This article present results for building accurate 3-D maps of urban environments with a mobile Segway RMP. The goal of this project is to use robotic systems to rapidly acquire 3-...
Michael Montemerlo, Sebastian Thrun
ASPDAC
2008
ACM
200views Hardware» more  ASPDAC 2008»
13 years 8 months ago
Non-Gaussian statistical timing analysis using second-order polynomial fitting
In the nanometer manufacturing region, process variation causes significant uncertainty for circuit performance verification. Statistical static timing analysis (SSTA) is thus dev...
Lerong Cheng, Jinjun Xiong, Lei He