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ICANN
2010
Springer
15 years 7 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 6 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
POPL
2012
ACM
14 years 2 months ago
A compiler and run-time system for network programming languages
Software-defined networks (SDNs) are a new implementation architecture in which a controller machine manages a distributed collection of switches, by instructing them to install ...
Christopher Monsanto, Nate Foster, Rob Harrison, D...
SAINT
2005
IEEE
16 years 4 days 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»
16 years 2 days 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