768 search results - page 16 / 154 » Information Geometry of Neural Networks |
ICANN
2010
Springer
15 years 27 days ago
2010
Springer
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. How can two distant neural assemblies synchronize their firings at zero-lag even in the presence of non-negligible delays in the transfer of information between them? He...
118
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
120
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IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
ICHIT
2009
Springer
15 years 6 months ago
2009
Springer