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» Learning from sensor network data
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127
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IJAR
2010
152views more  IJAR 2010»
15 years 1 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
129
Voted
WAIM
2007
Springer
15 years 8 months ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...
128
Voted
DCOSS
2008
Springer
15 years 4 months ago
Time Synchronization in Heterogeneous Sensor Networks
Heterogeneous sensor networks consisting of resource-constrained nodes as well as resource-intensive nodes equipped with high-bandwidth sensors offer significant advantages for dev...
Isaac Amundson, Branislav Kusy, Péter V&oum...
125
Voted
GLOBECOM
2007
IEEE
15 years 9 months ago
Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
Peng Guan, Xiaolin Li
131
Voted
SENSYS
2010
ACM
15 years 17 days ago
Meeting ecologists' requirements with adaptive data acquisition
Ecologists instrument ecosystems to collect time series representing the evolution in time and space of relevant abiotic and biotic factors. Sensor networks promise to improve on ...
Marcus Chang, Philippe Bonnet