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» An Algorithm for the Reduction of Linear DAE
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CP
2006
Springer
14 years 12 days 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»
14 years 2 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...
BMCBI
2008
157views more  BMCBI 2008»
13 years 8 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»
13 years 10 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
14 years 9 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