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» Computational Properties of Probabilistic Neural Networks
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ICPR
2000
IEEE
14 years 8 months ago
A Parallel Algorithm for Tracking of Segments in Noisy Edge Images
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
Pedro E. López-de-Teruel, Alberto Ruiz, Jos...
CCS
2003
ACM
14 years 23 days ago
Establishing pairwise keys in distributed sensor networks
Pairwise key establishment is a fundamental security service in sensor networks; it enables sensor nodes to communicate securely with each other using cryptographic techniques. Ho...
Donggang Liu, Peng Ning
ICAS
2009
IEEE
147views Robotics» more  ICAS 2009»
14 years 2 months ago
Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global sys...
Carlos Baquero, Paulo Sérgio Almeida, Raque...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
WIMOB
2007
IEEE
14 years 1 months ago
Performance Analysis of Ranging Process in IEEE 802.16e OFDMA Systems
In this paper, ranging process in IEEE 802.16e OFDMA systems is analyzed and performance is evaluated. Ranging process provides initial network entry, uplink synchronization, and ...
Doo Hwan Lee, Hiroyuki Morikawa