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GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
16 years 1 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
ICIAP
2009
ACM
16 years 1 months ago
Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network
This work aims at defining an extension of a competitive method for matching correspondences in stereoscopic image analysis. The method we extended was proposed by Venkatesh, Y.V....
Marco Vanetti, Ignazio Gallo, Elisabetta Binaghi
ESANN
2007
15 years 8 months ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet
NCI
2004
132views Neural Networks» more  NCI 2004»
15 years 8 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...
AAAI
2000
15 years 8 months ago
A Self-Organizing Neural Network for Contour Integration through Synchronized Firing
Contour integration in low-level vision is believed to occur based on lateral interaction between neurons with similar orientation tuning. The exact neural mechanisms underlying s...
Yoonsuck Choe, Risto Miikkulainen