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BMCBI
2006
97views more  BMCBI 2006»
15 years 4 months ago
Goulphar: rapid access and expertise for standard two-color microarray normalization methods
Background: Raw data normalization is a critical step in microarray data analysis because it directly affects data interpretation. Most of the normalization methods currently used...
Sophie Lemoine, Florence Combes, Nicolas Servant, ...
COR
2007
81views more  COR 2007»
15 years 4 months ago
Job scheduling methods for reducing waiting time variance
Minimizing Waiting Time Variance (WTV) is a job scheduling problem where we schedule a batch of n jobs, for servicing on a single resource, in such a way that the variance of thei...
Nong Ye, Xueping Li, Toni Farley, Xiaoyun Xu
TSMC
2008
225views more  TSMC 2008»
15 years 4 months ago
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
We present a method for the recovery of partially occluded 3D geometric primitives from range images which might also include non-primitive objects. The method uses a technique for...
Irina Lavva, Eyal Hameiri, Ilan Shimshoni
143
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CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
14 years 11 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
174
Voted
SIAMIS
2011
14 years 11 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...