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190
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IPSN
2004
Springer
16 years 12 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
208
Voted
MA
2010
Springer
94views Communications» more  MA 2010»
15 years 5 months ago
On sparse estimation for semiparametric linear transformation models
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
219
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MOBIHOC
2004
ACM
16 years 6 months ago
Internal synchronization of drift-constraint clocks in ad-hoc sensor networks
Clock synchronization is a crucial basic service in typical sensor networks, since the observations of distributed sensors more often than not need to be ordered ("a happened...
Lennart Meier, Philipp Blum, Lothar Thiele
163
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ICTAI
2007
IEEE
16 years 1 months ago
A Java-Based Distributed Genetic Algorithm Framework
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Gabi Escuela, Yudith Cardinale, Jorge Gonzá...
194
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IPPS
2006
IEEE
16 years 1 months ago
A design of overlay anonymous multicast protocol
Multicast services are demanded by a variety of applications. Many applications require anonymity during their communication. However, there has been very little work on anonymous...
Li Xiao, Xiaomei Liu, Wenjun Gu, Dong Xuan, Yunhao...