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CVPR
2003
IEEE
14 years 9 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
ICRA
2008
IEEE
164views Robotics» more  ICRA 2008»
14 years 2 months ago
Factorization-based calibration method for MEMS inertial measurement unit
— We present an easy-to-use calibration method for MEMS inertial sensor units based on the Factorization method which was originally invented for shape-and-motion recovery in com...
Myung Hwangbo, Takeo Kanade
CISIS
2011
IEEE
12 years 7 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
IPPS
2006
IEEE
14 years 1 months ago
Trust overlay networks for global reputation aggregation in P2P grid computing
1 This paper presents a new approach to trusted Grid computing in a Peer-to-Peer (P2P) setting. Trust and security are essential to establish lasting working relationships among th...
Runfang Zhou, Kai Hwang
WSC
2007
13 years 10 months ago
Sensitivity estimates from characteristic functions
We investigate the application of the likelihood ratio method (LRM) for sensitivity estimation when the relevant density for the underlying model is known only through its charact...
Paul Glasserman, Zongjian Liu