10 search results - page 2 / 2 » Unsupervised Neural Learning on Lie Group |
BIOADIT
2006
Springer
15 years 1 months ago
2006
Springer
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
MCS
2007
Springer
15 years 3 months ago
2007
Springer
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
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ICANN
2005
Springer
15 years 2 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...