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NECO
2006
76views more  NECO 2006»
14 years 11 months ago
Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks
We study in this paper the effect of an unique initial stimulation on random recurrent networks of leaky integrate and fire neurons. Indeed given a stochastic connectivity this so...
Hédi Soula, Guillaume Beslon, Olivier Mazet
ICDCS
2007
IEEE
15 years 6 months ago
Uniform Data Sampling from a Peer-to-Peer Network
Uniform random sample is often useful in analyzing data. Usually taking a uniform sample is not a problem if the entire data resides in one location. However, if the data is distr...
Souptik Datta, Hillol Kargupta
SDM
2009
SIAM
104views Data Mining» more  SDM 2009»
15 years 9 months ago
On Randomness Measures for Social Networks.
Social networks tend to contain some amount of randomness and some amount of non-randomness. The amount of randomness versus non-randomness affects the properties of a social netw...
Xiaowei Ying, Xintao Wu
WOWMOM
2009
ACM
143views Multimedia» more  WOWMOM 2009»
15 years 6 months ago
Improving partial cover of Random Walks in large-scale Wireless Sensor Networks
Random Walks (RWs) have been considered for information dissemination in large scale, dynamic and unstructured environments, as they are scalable, robust to topology changes and d...
Leonidas Tzevelekas, Ioannis Stavrakakis
PIMRC
2008
IEEE
15 years 6 months ago
Connectivity of wireless ad hoc networks with random beamforming: An analytical approach
Random beamforming, where each node selects a main beam direction without any coordination with other nodes, has been proposed as a simple technique to improve connectivity in wire...
Salman Durrani, Xiangyun Zhou, Haley M. Jones