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» Modeling Neural Processes in Lindenmayer Systems
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EUSFLAT
2009
141views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
An Experimental Study on the Interpretability of Fuzzy Systems
Abstract-- Interpretability is one of the most significant properties of Fuzzy Systems which are widely acknowledged as gray boxes against other Soft Computing techniques such as N...
José M. Alonso, Luis Magdalena
96
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IVC
2002
97views more  IVC 2002»
15 years 3 days ago
A neural approach to zoom-lens camera calibration from data with outliers
Camera systems with zoom lenses are inherently more useful than those with passive lenses due to their flexibility and controllability. However, their calibration raises several c...
Moumen T. Ahmed, Aly A. Farag
ESANN
2004
15 years 1 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
104
Voted
ESANN
2006
15 years 1 months ago
Saliency extraction with a distributed spiking neural network
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
Sylvain Chevallier, Philippe Tarroux, Hél&e...
92
Voted
NIPS
1993
15 years 1 months ago
Computational Elements of the Adaptive Controller of the Human Arm
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
Reza Shadmehr, Ferdinando A. Mussa-Ivaldi