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ICANN
2010
Springer
15 years 6 months ago
Cell Microscopic Segmentation with Spiking Neuron Networks
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
Boudjelal Meftah, Olivier Lezoray, Michel Lecluse,...
IJAR
2007
107views more  IJAR 2007»
15 years 5 months ago
Hybrid possibilistic networks
Possibilistic networks are important tools for dealing with uncertain pieces of information. For multiplyconnected networks, it is well known that the inference process is a hard ...
Salem Benferhat, Salma Smaoui
SAINT
2005
IEEE
15 years 10 months ago
Issues of Control Networks when Introducing IP
There are many kinds of control networks which have been used in various non-IP network areas, such as BA (Building Automation), FA (Factory Automation) and PA (Process Automation...
Nobuo Okabe
MDM
2005
Springer
127views Communications» more  MDM 2005»
15 years 10 months ago
Panel on mobility in sensor networks
Sensor networks are promising unprecedented levels of access to information about the physical world, in real time. Many areas of human activity are starting to see the benefits ...
Alexandros Labrinidis, Anthony Stefanidis
FLAIRS
2007
15 years 7 months ago
Temporal Networks with Alternatives: Complexity and Model
Temporal Networks play an important role in solving planning problems and they are also used, though not as frequently, when solving scheduling problems. In this paper we propose ...
Roman Barták, Ondrej Cepek