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» Clustering Distributed Time Series in Sensor Networks
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IDA
2003
Springer
14 years 2 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
CSDA
2007
202views more  CSDA 2007»
13 years 8 months ago
Bayesian estimation of the Gaussian mixture GARCH model
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
María Concepción Ausín, Pedro...
HUC
2010
Springer
13 years 6 months ago
A holistic multipurpose life-log framework
Life-log systems have a wide range of usages from memory augmentation to health monitoring. Recent advances in pervasive devices and sensor networks enable us to create tools that...
Reza Rawassizadeh
ESA
2004
Springer
97views Algorithms» more  ESA 2004»
14 years 2 months ago
Radio Network Clustering from Scratch
Abstract. We propose a novel randomized algorithm for computing a dominating set based clustering in wireless ad-hoc and sensor networks. The algorithm works under a model which ca...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
EWSN
2004
Springer
14 years 8 months ago
ACE: An Emergent Algorithm for Highly Uniform Cluster Formation
The efficient subdivision of a sensor network into uniform, mostly non-overlapping clusters of physically close nodes is an important building block in the design of efficient uppe...
Haowen Chan, Adrian Perrig