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ISPD
2007
ACM
124views Hardware» more  ISPD 2007»
13 years 10 months ago
Accurate power grid analysis with behavioral transistor network modeling
In this paper, we propose fast and efficient techniques to analyze the power grid with accurate modeling of the transistor network. The solution techniques currently available for...
Anand Ramalingam, Giri Devarayanadurg, David Z. Pa...
BMCBI
2007
124views more  BMCBI 2007»
13 years 8 months ago
Analysis on multi-domain cooperation for predicting protein-protein interactions
Background: Domains are the basic functional units of proteins. It is believed that protein-protein interactions are realized through domain interactions. Revealing multi-domain c...
Rui-Sheng Wang, Yong Wang, Ling-Yun Wu, Xiang-Sun ...
SODA
2010
ACM
143views Algorithms» more  SODA 2010»
13 years 7 months ago
Thin Partitions: Isoperimetric Inequalities and a Sampling Algorithm for Star Shaped Bodies
Star-shaped bodies are an important nonconvex generalization of convex bodies (e.g., linear programming with violations). Here we present an efficient algorithm for sampling a giv...
Karthekeyan Chandrasekaran, Daniel Dadush, Santosh...
NIPS
2003
13 years 10 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...
NIPS
2008
13 years 10 months ago
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari