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GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 6 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
136
Voted
ICANN
2005
Springer
15 years 10 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
158
Voted
TSMC
1998
93views more  TSMC 1998»
15 years 4 months ago
Toward a completely automatic neural-network-based human chromosome analysis
Abstract—The application of neural networks (NN’s) to automatic analysis of chromosome images is investigated in this paper. All aspects of the analysis, namely segmentation, f...
Boaz Lerner
CIKM
2000
Springer
15 years 9 months ago
Relevance and Reinforcement in Interactive Browsing
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
Anton Leuski
133
Voted
MVA
1992
105views Computer Vision» more  MVA 1992»
15 years 6 months ago
Proposition of a Human Motion Tracking Method by Temporal-Spatial Segmentation in an Image Sequence
In this paper, a ncw approach of a 3D human motion tracking mcthod in rcal time is proposed. The basis of thc nicthod is thc use of two scgrncntations, one temporal and the othcr ...
Frédéric Elsner, Khaled Hacine, Nace...