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» The Polynomial Method for Random Matrices
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MICCAI
2009
Springer
14 years 8 months ago
Diffusion Tensor Field Registration in the Presence of Uncertainty
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
M. Okan Irfanoglu, Cheng Guan Koay, Sinisa Pajev...
GLVLSI
2010
IEEE
190views VLSI» more  GLVLSI 2010»
13 years 9 months ago
A linear statistical analysis for full-chip leakage power with spatial correlation
In this paper, we present an approved linear-time algorithm for statistical leakage analysis in the present of any spatial correlation condition (strong or weak). The new algorith...
Ruijing Shen, Sheldon X.-D. Tan, Jinjun Xiong
CC
2007
Springer
123views System Software» more  CC 2007»
13 years 7 months ago
An Improved Analysis of Linear Mergers
Mergers are procedures that, with the aid of a short random string, transform k (possibly dependent) random sources into a single random source, in a way that ensures that if one ...
Zeev Dvir, Amir Shpilka
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
14 years 23 days ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
ML
2006
ACM
121views Machine Learning» more  ML 2006»
13 years 7 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung