124 search results - page 4 / 25 » Recurrent and Concurrent Neural Networks for Objects Recogni... |
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
We shed light on the key ingredients of reservoir computing and analyze the contribution of the network dynamics to the spatial encoding of inputs. Therefore, we introduce attracto...
ICONIP
2007
13 years 9 months ago
2007
– The behavior of recurrent neural networks with a recurrent output layer (ROL) is described mathematically and it is shown that using ROL is not only advantageous, but is in fac...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...