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IPPS
2010
IEEE
15 years 1 months ago
Robust resource allocation of DAGs in a heterogeneous multicore system
In this study, we consider an environment composed of a heterogeneous cluster of multicore-based machines used to analyze satellite images. The workload involves large data sets, a...
Luis D. Briceo, Jay Smith, Howard Jay Siegel, Anth...
CVPR
2005
IEEE
16 years 6 months ago
Robust Boosting for Learning from Few Examples
We present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of our original data. The motivation is that since the learning algori...
Lior Wolf, Ian Martin
ICIP
2003
IEEE
16 years 5 months ago
Blood vessel segmentation using moving-window robust automatic threshold selection
Two moving-window methods, using either flat or Gaussian weighted windows, for local thresholding with Robust Automatic Threshold Selection are developed. The results show that fa...
Michael H. F. Wilkinson, T. Wijbenga, G. de Vries,...
ICPR
2004
IEEE
16 years 5 months ago
Robust Modelling of Local Image Structures and Its Application to Medical Imagery
A robust modelling method for detecting and measuring isotropic, linear features and bifurcations is described and applied to analysing 2d eletrophoresis and retinal images. Featu...
Li Wang, Abhir Bhalerao, Roland Wilson
CLUSTER
2007
IEEE
15 years 10 months ago
A Comparison of robustness metrics for scheduling DAGs on heterogeneous systems
— A schedule is said robust if it is able to absorb some degree of uncertainty in tasks duration while maintaining a stable solution. This intuitive notion of robustness has led ...
Louis-Claude Canon, Emmanuel Jeannot