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129
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HPCN
1998
Springer
15 years 8 months ago
1998
Springer
The execution of an application on a high performance system requires parameters concerning the problem in hand, and those that determine the system mapping, to be specified by a ...
121
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
164
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CVPR
2010
IEEE
16 years 10 days ago
2010
IEEE
Taking multiple exposures is a well-established approach both for capturing high dynamic range (HDR) scenes and for noise reduction. But what is the optimal set of photos to captur...
127
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
219
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ASMTA
2011
Springer
14 years 7 months ago
2011
Springer
Queueing delays experienced by packets buffered at a node are among the most difficult to predict when considering the performance of a flow in a network. The arrivals of packets a...