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» Feature selection with neural networks
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CEC
2005
IEEE
13 years 11 months ago
Graph composition in a graph grammar-based method for automata network evolution
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...
Martin H. Luerssen, David M. W. Powers
BC
2005
92views more  BC 2005»
13 years 8 months ago
Spontaneous symmetry breaking in self-organizing neural fields
Weextendthetheoryofself-organizingneuralfields in order to analyze the joint emergence of topography and feature selectivity in primary visual cortex through spontaneous symmetry b...
Paul C. Bressloff
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
14 years 3 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
ICPR
2006
IEEE
14 years 10 months ago
A Method for the Identification of Noisy Regions in Normalized Iris Images
In this paper we propose a new method for the identification of noisy regions in normalized iris images. Starting from a normalized and dimensionless iris image in the polar coord...
Hugo Proença, Luís A. Alexandre
ESOA
2006
14 years 18 days ago
ASOS: An Adaptive Self-organizing Protocol for Surveillance and Routing in Sensor Networks
We present a simple model of self-organization for sensor networks that addresses two conflicting requirements: hazard situations should be reported to a sink node with as little ...
Jorge Simão