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CSDA
2007
104views more  CSDA 2007»
13 years 7 months ago
Archimedean copula estimation using Bayesian splines smoothing techniques
Copulas enable to specify multivariate distributions with given marginals.Various parametric proposals were made in the literature for these quantities, mainly in the bivariate ca...
Philippe Lambert
CVPR
2009
IEEE
1372views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Blind motion deblurring from a single image using sparse approximation
Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digital imaging. Existing blind deblurring techniques eithe...
Jian-Feng Cai (National University of Singapore), ...
EPEW
2006
Springer
13 years 11 months ago
Explicit Inverse Characterizations of Acyclic MAPs of Second Order
This paper shows how to construct a Markovian arrival process of second order from information on the marginal distribution and on its autocorrelation function. More precisely, clo...
Armin Heindl, Gábor Horváth, Karsten...
EC
2010
176views ECommerce» more  EC 2010»
13 years 5 months ago
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
Roberto Santana, Pedro Larrañaga, Jos&eacut...
CORR
2010
Springer
97views Education» more  CORR 2010»
13 years 5 months ago
On the Scaling Law for Compressive Sensing and its Applications
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
Weiyu Xu, Ao Tang