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» Clustering Distributed Time Series in Sensor Networks
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TMI
2008
136views more  TMI 2008»
13 years 8 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen
NCA
2006
IEEE
14 years 2 months ago
SecLEACH - A Random Key Distribution Solution for Securing Clustered Sensor Networks
Clustered sensor networks have been shown to increase system throughput, decrease system delay, and save energy. While those with rotating cluster heads, such as LEACH, have also ...
Leonardo B. Oliveira, Hao Chi Wong, Marshall W. Be...
ML
2000
ACM
157views Machine Learning» more  ML 2000»
13 years 8 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
INFOCOM
2003
IEEE
14 years 2 months ago
An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks
— A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data ...
Seema Bandyopadhyay, Edward J. Coyle
CONEXT
2007
ACM
14 years 21 days ago
Energy-efficient MAC and routing design in distributed beamforming sensor networks
A major task of a wireless sensor network is energy-efficient, timely, and robust dissemination of sensor readings back to the sink node. The AIDA project [1] aims to create a new...
Dimitrios Koutsonikolas, Syed Ali Raza Jafri, Y. C...