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ACMSE
2006
ACM
16 years 15 days ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...
ICNC
2005
Springer
16 years 21 hour ago
Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim
APNOMS
2007
Springer
16 years 21 days ago
A Density Based Clustering for Node Management in Wireless Sensor Network
This paper represents a new clustering approach for wireless sensor network. It is a decentralized algorithm having the topology control information in each sensor node. A post lea...
Md. Obaidur Rahman, Byung Goo Choi, Muhammad Mosta...
CIKM
2009
Springer
16 years 1 months ago
On optimising personal network size to manage information flow
PN refer to the set of ties a specific individual has with other people. There is significant variation in the size of an individual’s PN and this paper explores the effect o...
Yu-En Lu, Sam Roberts, Tammy M. K. Cheng, Robin Du...
SENSYS
2006
ACM
16 years 14 days ago
Using grid technologies to optimise a wireless sensor network for flood management
Danny Hughes, Phil Greenwood, Barry Porter, Paul G...