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» Adaptive sampling for sensor networks
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ICC
2007
IEEE
156views Communications» more  ICC 2007»
15 years 4 months ago
A Sampling Data Stream Algorithm For Wireless Sensor Networks
Abstract— This work presents a sampling data stream algorithm for wireless sensor networks (WSNs). The proposed algorithm is based on sampling techniques applied to data histogra...
André L. L. de Aquino, Carlos Mauricio S. F...
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 13 days ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
INFOSCALE
2007
ACM
14 years 11 months ago
Ontology driven adaptive data processing in wireless sensor networks
It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper,we propose a WIreless Sensor Networks Ont...
Yuheng Hu, Zhendong Wu, Ming Guo
TNN
2008
177views more  TNN 2008»
14 years 9 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
ICASSP
2008
IEEE
15 years 4 months ago
Optimized distributed 2D transforms for irregularly sampled sensor network grids using wavelet lifting
We address the design and optimization of an energy-efficient lifting-based 2D transform for wireless sensor networks with irregular spatial sampling. The 2D transform is designe...
Godwin Shen, Antonio Ortega