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» UPRE method for total variation parameter selection
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AAAI
2011
12 years 7 months ago
Sparse Matrix-Variate t Process Blockmodels
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
Zenglin Xu, Feng Yan, Yuan Qi
DAC
2010
ACM
13 years 11 months ago
Representative path selection for post-silicon timing prediction under variability
The identification of speedpaths is required for post-silicon (PS) timing validation, and it is currently becoming timeconsuming due to manufacturing variations. In this paper we...
Lin Xie, Azadeh Davoodi
ISLPED
2006
ACM
119views Hardware» more  ISLPED 2006»
14 years 1 months ago
Process variation aware cache leakage management
In a few technology generations, limitations of fabrication processes will make accurate design time power estimates a daunting challenge. Static leakage current which comprises a...
Ke Meng, Russ Joseph
ASWEC
2007
IEEE
13 years 11 months ago
Managing Conflicts When Using Combination Strategies to Test Software
Testers often represent systems under test in input parameter models. These contain parameters with associated values. Combinations of parameter values, with one value for each pa...
Mats Grindal, Jeff Offutt, Jonas Mellin
SIAMIS
2010
283views more  SIAMIS 2010»
13 years 2 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan