120 search results - page 19 / 24 » A Recurrent Neural Network that Learns to Count |
IJCAI
1997
14 years 10 months ago
1997
Marco Gori Dipartimento di Ingegneria deU'Informazione Universita di Siena Via Roma 56 53100 Siena, Italy Alessandro Sperduti Dipartimento di Informatica Universita di Pisa C...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...
83
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GECCO
2008
Springer
14 years 10 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
FOCI
2007
IEEE
15 years 3 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
ICPR
2008
IEEE
15 years 10 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...