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» On Risky Methods for Local Selection under Noise
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PPSN
1998
Springer
13 years 8 months ago
On Risky Methods for Local Selection under Noise
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...
Günter Rudolph
ICIP
2010
IEEE
13 years 2 months ago
Poisson NL means: Unsupervised non local means for Poisson noise
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted ...
Charles-Alban Deledalle, Florence Tupin, Loïc...
SCALESPACE
2001
Springer
13 years 9 months ago
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered imag...
Pavel Mrázek
CVPR
2004
IEEE
14 years 6 months ago
Local Smoothing for Manifold Learning
We propose methods for outlier handling and noise reduction using weighted local linear smoothing for a set of noisy points sampled from a nonlinear manifold. The methods can be u...
Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rang...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 5 months ago
Evolutionary path planner for UAVs in realistic environments
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the a...
Jesús Manuel de la Cruz, Eva Besada-Portas,...