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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 8 months ago
A neural evolutionary approach to financial modeling
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
Antonia Azzini, Andrea Tettamanzi
ICIP
2002
IEEE
16 years 6 months ago
A study of contextual modeling and texture characterization for multiscale Bayesian segmentation
In this paper, we demonstrate that multiscale Bayesian image segmentation can be enhanced by improving both contextual modeling and statistical texture characterization. Firstly, ...
Guoliang Fan, Xiaomu Song
VTC
2006
IEEE
273views Communications» more  VTC 2006»
15 years 10 months ago
Path Loss Models for Air-to-Ground Radio Channels in Urban Environments
Abstract—This paper provides new statistical models for air-toground channels in an urban environment. The model is derived to operate at frequencies from 200MHz to 5GHz. Issues ...
Qixing Feng, Joe McGeehan, Eustace K. Tameh, Andre...
JCNS
2006
64views more  JCNS 2006»
15 years 4 months ago
A neuronal network for the logic of Limax learning
We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particul...
Pranay Goel, Alan Gelperin
CIARP
2006
Springer
15 years 8 months ago
Color Texture Segmentation by Decomposition of Gaussian Mixture Model
Abstract. Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable ...
Jiri Grim, Petr Somol, Michal Haindl, Pavel Pudil