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» An Adaptive Steganographic Method Using Additive Noise
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NIPS
2008
15 years 5 months ago
Nonlinear causal discovery with additive noise models
The discovery of causal relationships between a set of observed variables is a fundamental problem in science. For continuous-valued data linear acyclic causal models with additiv...
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, ...
MICCAI
2008
Springer
16 years 5 months ago
Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI
Diffusion-Weighted MRI (DW-MRI) is subject to random noise yielding measures that are different from their real values, and thus biasing the subsequently estimated tensors. The Non...
Nicolas Wiest-Daesslé, Sylvain Prima, Pierr...
SIAMNUM
2010
140views more  SIAMNUM 2010»
14 years 11 months ago
Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
Mihály Kovács, Stig Larsson, Fardin ...
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
15 years 10 months ago
Noise filtering method for color images based on LDA and nonlinear diffusion
The purpose of noise filtering for images is to preserve features such as edge or corners in images, while reducing noise. Recent noise filtering algorithms based on diffusion e...
Woong Hee Kim, Thomas Sikora
MOC
2000
76views more  MOC 2000»
15 years 4 months ago
Optimal approximation of stochastic differential equations by adaptive step-size control
We study the pathwise (strong) approximation of scalar stochastic differential equations with respect to the global error in the L2-norm. For equations with additive noise we estab...
Norbert Hofmann, Thomas Müller-Gronbach, Klau...