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110
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TSP
2010
14 years 4 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
95
Voted
TSP
2010
14 years 4 months ago
2010
Abstract--This paper considers the problem of scalable distributed coding of correlated sources that are communicated to a central unit, a setting typically encountered in sensor n...
87
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
80
Voted
CORR
2011
Springer
14 years 1 months ago
2011
Springer
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., sco...
103
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ISCA
2011
IEEE
14 years 1 months ago
2011
IEEE
As we move to large manycores, the hardware-based global checkpointing schemes that have been proposed for small shared-memory machines do not scale. Scalability barriers include ...