This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural image...
The protection of privacy is an increasing concern in our networked society because of the growing amount of personal information that is being collected by a number of commercial...
Claudio Agostino Ardagna, Marco Cremonini, Sabrina...
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
An ever greater range of applications call for learning from sequences. Grammar induction is one prominent tool for sequence learning, it is therefore important to know its proper...
In recent years, the chaos based cryptographic algorithms have suggested some new and efficient ways to develop secure image encryption techniques.Inthis communication,weproposea ...