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CEC
2003
IEEE
15 years 8 months ago
Dynamics of gene expression in an artificial genome
Abstract- Complex systems techniques provide a powerful tool to study the emergent properties of networks of interacting genes. In this study we extract models of genetic regulator...
Kai Willadsen, Janet Wiles
IJON
2007
184views more  IJON 2007»
15 years 4 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
ICIP
1995
IEEE
16 years 5 months ago
On morphological openings and closings of signals in shaped noise
In recent work, we have shown that morphological openings and closings can be viewed as consistent MAP estimators of morphologically smooth binary image signals immersed in i.i.d....
Nikolaos Sidiropoulos, John S. Baras, Carlos Alber...
MICCAI
2008
Springer
16 years 5 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
15 years 11 months ago
On the generation of feasible paths for aerial robots in environments with obstacles
— This paper presents a methodology based on a variation of the Rapidly-exploring Random Trees (RRTs) that generates feasible trajectories for autonomous aerial vehicles with hol...
Douglas Guimarães Macharet, Armando Alves N...