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Abstract: We consider the problem of decentralized detection under constraints on the number of bits that can be transmitted by each sensor. In contrast to most previous work, in which the joint distribution of sensor observations is assumed to be known, we address the problem when only a set of empirical samples is available. We propose a novel algorithm using the framework of empirical risk minimization and marginalized kernels and analyze its computational and statistical properties both theoretically ... (Update)
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BibTeX entry: (Update)
X. Nguyen, M. J. Wainwright, and M. I. Jordan. Nonparametric decentralized detection using kernel methods. IEEE Transactions on Signal Processing, In press, November 2005. http://citeseer.ist.psu.edu/nguyen05nonparametric.html More
@misc{ nguyen05nonparametric,
author = "X. Nguyen and M. Wainwright and M. Jordan",
title = "Nonparametric decentralized detection using kernel methods",
text = "X. Nguyen, M. J. Wainwright, and M. I. Jordan. Nonparametric decentralized
detection using kernel methods. IEEE Transactions on Signal Processing,
In press, November 2005.",
year = "2005",
url = "citeseer.ist.psu.edu/nguyen05nonparametric.html" }
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