10 search results - page 2 / 2 » Unsupervised Neural Learning on Lie Group |
BIOADIT
2006
Springer
13 years 9 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
13 years 12 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
13 years 10 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...
ICANN
2005
Springer
13 years 11 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
14 years 1 days 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...