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» An Algorithm for the Reduction of Linear DAE
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CP
2006
Springer
15 years 1 months ago
Global Optimization of Probabilistically Constrained Linear Programs
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
Shabbir Ahmed
TCC
2007
Springer
170views Cryptology» more  TCC 2007»
15 years 3 months ago
Secure Linear Algebra Using Linearly Recurrent Sequences
In this work we present secure two-party protocols for various core problems in linear algebra. Our main result is a protocol to obliviously decide singularity of an encrypted matr...
Eike Kiltz, Payman Mohassel, Enav Weinreb, Matthew...
93
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BMCBI
2008
157views more  BMCBI 2008»
14 years 9 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
ASPDAC
2005
ACM
118views Hardware» more  ASPDAC 2005»
14 years 11 months ago
Wideband modeling of RF/Analog circuits via hierarchical multi-point model order reduction
This paper proposes a novel wideband modeling technique for high-performance RF passives and linear(ized) analog circuits. The new method is based on a recently proposed sdomain h...
Zhenyu Qi, Sheldon X.-D. Tan, Hao Yu, Lei He
ICPR
2006
IEEE
15 years 10 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang