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CCGRID
2006
IEEE
15 years 7 months ago
Exploit Failure Prediction for Adaptive Fault-Tolerance in Cluster Computing
As the scale of cluster computing grows, it is becoming hard for long-running applications to complete without facing failures on large-scale clusters. To address this issue, chec...
Yawei Li, Zhiling Lan
FOCS
2004
IEEE
15 years 5 months ago
Triangulation and Embedding Using Small Sets of Beacons
Concurrent with recent theoretical interest in the problem of metric embedding, a growing body of research in the networking community has studied the distance matrix defined by n...
Jon M. Kleinberg, Aleksandrs Slivkins, Tom Wexler
ACCV
2009
Springer
15 years 2 months ago
Adaptive-Scale Robust Estimator Using Distribution Model Fitting
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
SENSYS
2010
ACM
14 years 11 months ago
Locating sensors in the wild: pursuit of ranging quality
Localization is a fundamental issue of wireless sensor networks that has been extensively studied in the literature. The real-world experience from GreenOrbs, a sensor network sys...
Wei Xi, Yuan He, Yunhao Liu, Jizhong Zhao, Lufeng ...
CVPR
2007
IEEE
16 years 3 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke