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CVPR
2010
IEEE
13 years 7 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
BMCBI
2010
85views more  BMCBI 2010»
13 years 10 months ago
Robust test method for time-course microarray experiments
Background: In a time-course microarray experiment, the expression level for each gene is observed across a number of time-points in order to characterize the temporal trajectorie...
Insuk Sohn, Kouros Owzar, Stephen L. George, Sujon...
SIGECOM
2010
ACM
156views ECommerce» more  SIGECOM 2010»
14 years 2 months ago
Robust mechanisms for risk-averse sellers
The existing literature on optimal auctions focuses on optimizing the expected revenue of the seller, and is appropriate for risk-neutral sellers. In this paper, we identify good ...
Mukund Sundararajan, Qiqi Yan
OR
2005
Springer
14 years 3 months ago
Robustness in the Context of Autonomous Cooperating Logistic Processes: A Sustainability Perspective
Abstract. Autonomous cooperating logistic processes seem to be a promising approach to increase the robustness of logistics systems. Searching for the necessary organizational prer...
Lars Arndt, Georg Müller-Christ
DSN
2002
IEEE
14 years 2 months ago
Robust Software - No More Excuses
Software developers identify two main reasons why software systems are not made robust: performance and practicality. This work demonstrates the effectiveness of general technique...
John DeVale, Philip Koopman