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CCGRID
2006
IEEE
14 years 1 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
13 years 11 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
13 years 9 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
13 years 5 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
14 years 10 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