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IJON
2006
91views more  IJON 2006»
13 years 9 months ago
Symmetry axis extraction by a neural network
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...
Kunihiko Fukushima, Masayuki Kikuchi
JCS
2008
88views more  JCS 2008»
13 years 9 months ago
A privacy-aware access control system
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...
CORR
2007
Springer
140views Education» more  CORR 2007»
13 years 9 months ago
From the entropy to the statistical structure of spike trains
— 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...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
JIIS
2008
89views more  JIIS 2008»
13 years 9 months ago
A note on phase transitions and computational pitfalls of learning from sequences
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...
Antoine Cornuéjols, Michèle Sebag
IVC
2006
156views more  IVC 2006»
13 years 9 months ago
Image encryption using chaotic logistic map
In recent years, the chaos based cryptographic algorithms have suggested some new and efficient ways to develop secure image encryption techniques.Inthis communication,weproposea ...
Narendra K. Pareek, Vinod Patidar, Krishan K. Sud