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» Computing with Time: From Neural Networks to Sensor Networks
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IJCNN
2008
IEEE
13 years 11 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...
CVPR
2012
IEEE
11 years 7 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
NIPS
2003
13 years 6 months ago
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
We show that temporal logic and combinations of temporal logics and modal logics of knowledge can be effectively represented in artificial neural networks. We present a Translat...
Artur S. d'Avila Garcez, Luís C. Lamb
ICC
2008
IEEE
160views Communications» more  ICC 2008»
13 years 11 months ago
Localization via TDOA in a UWB Sensor Network using Neural Networks
In an Ultra-wide band (UWB) sensor network signal reflections from objects can be used to accurately determine the location. UWB signals are preferred in these types of sensor ne...
Salih Ergüt, Ramesh R. Rao, Özgür D...
DSS
2006
118views more  DSS 2006»
13 years 5 months ago
Part family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...