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DMSN
2004
ACM
15 years 9 months ago
Adaptive sampling for sensor networks
A distributed data-stream architecture finds application in sensor networks for monitoring environment and activities. In such a network, large numbers of sensors deliver continu...
Ankur Jain, Edward Y. Chang
IMC
2004
ACM
15 years 9 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
ML
2000
ACM
157views Machine Learning» more  ML 2000»
15 years 3 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
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
14 years 11 months ago
Time-synchronization in mobile sensor networks from difference measurements
We examine distributed time-synchronization in mobile ad-hoc and sensor networks. The problem is to estimate the skews and offsets of clocks of all the nodes with respect to an arb...
Chenda Liao, Prabir Barooah
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 4 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...