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ICANN
2009
Springer
15 years 4 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
NN
2006
Springer
15 years 6 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
NN
2002
Springer
15 years 6 months ago
Three creatures named 'forward model'
It has recently been suggested that the nervous system employs forward models for the purpose of motor control. The evidence for this hypothetical computational structure comes fr...
Amir Karniel
RAS
2000
116views more  RAS 2000»
15 years 6 months ago
Collision avoidance using a model of the locust LGMD neuron
The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a ne...
Mark Blanchard, F. Claire Rind, Paul F. M. J. Vers...
NN
2006
Springer
218views Neural Networks» more  NN 2006»
15 years 6 months ago
Modeling attention to salient proto-objects
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objec...
Dirk Walther, Christof Koch