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ASPDAC
2010
ACM
155views Hardware» more  ASPDAC 2010»
13 years 2 months ago
Efficient model reduction of interconnects via double gramians approximation
The gramian approximation methods have been proposed recently to overcome the high computing costs of classical balanced truncation based reduction methods. But those methods typi...
Boyuan Yan, Sheldon X.-D. Tan, Gengsheng Chen, Yic...
CVIU
2008
132views more  CVIU 2008»
13 years 4 months ago
Global parametric image alignment via high-order approximation
The estimation of parametric global motion is one of the cornerstones of computer vision. Such schemes are able to estimate various motion models (translation, rotation, affine, p...
Yosi Keller, Amir Averbuch
STACS
2005
Springer
13 years 10 months ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney
TNN
1998
111views more  TNN 1998»
13 years 4 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos