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» Parametrization of Linear Systems Using Diffusion Kernels
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ECCV
2004
Springer
14 years 7 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
TMI
2008
127views more  TMI 2008»
13 years 5 months ago
Restoration of DWI Data Using a Rician LMMSE Estimator
Abstract--This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration ...
Santiago Aja-Fernández, Marc Niethammer, Ma...
CDC
2010
IEEE
144views Control Systems» more  CDC 2010»
13 years 7 days ago
Semiparametric identification of Hammerstein systems using input reconstruction and a single harmonic input
We present a two-step method for identifying SISO Hammerstein systems. First, using a persistent input with retrospective cost optimization, we estimate a parametric model of the l...
Anthony M. D'Amato, Kenny S. Mitchell, Bruno Ot&aa...
SIAMNUM
2010
96views more  SIAMNUM 2010»
12 years 12 months ago
A Stochastic Algorithm for Parametric Sensitivity in Smoluchowski's Coagulation Equation
Abstract. In this article a stochastic particle system approximation to the parametric sensitivity in the Smoluchowski coagulation equation is introduced. The parametric sensitivit...
Ismaël F. Bailleul, Peter L. W. Man, Markus K...
BMCBI
2008
159views more  BMCBI 2008»
13 years 5 months ago
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via log
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
Dawei Liu, Debashis Ghosh, Xihong Lin