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IJPRAI
2002
97views more  IJPRAI 2002»
13 years 7 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
ICANN
2005
Springer
14 years 1 months ago
Evolving Modular Fast-Weight Networks for Control
Abstract. In practice, almost all control systems in use today implement some form of linear control. However, there are many tasks for which conventional control engineering metho...
Faustino J. Gomez, Jürgen Schmidhuber
ESOA
2006
13 years 11 months 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
JOCN
2010
85views more  JOCN 2010»
13 years 6 months ago
The Neural Bases of Distraction and Reappraisal
■ Distraction and reappraisal are two commonly used forms of cognitive emotion regulation. Functional neuroimaging studies have shown that each one depends upon interactions bet...
Kateri McRae, Brent Hughes, Sita Chopra, John D. E...
ESANN
2000
13 years 9 months ago
Local input-output stability of recurrent networks with time-varying weights
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
Jochen J. Steil